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Associate- Digital Value Creation- TAS India

Houlihan Lokey, Inc. (NYSE:HLI) is a global investment bank with expertise in mergers and acquisitions, capital solutions, financial restructuring, and financial and valuation advisory. Houlihan Lokey serves corporations, institutions, and governments worldwide with offices in the Americas, Europe, the Middle East, and the Asia-Pacific region. Independent advice and intellectual rigor are hallmarks of the firm’s commitment to client success across its advisory services. The firm is the No. 1 investment bank for all global M&A transactions for the past two years, the No. 1 M&A advisor for the past 10 years in the U.S., the No. 1 global restructuring advisor for the past 11 years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by LSEG.

Financial and Valuation Advisory

Over the past 50 years, Houlihan Lokey has established one of the largest worldwide financial and valuation advisory practices. Our transaction expertise and leadership in the field of valuation inspire confidence in the financial executives, boards of directors, special committees, retained counsel, investors, and business owners we serve. In 2024, LSEG ranked us the No. 1 Global M&A fairness opinion advisor over the past 20 years. Our stability, integrity, technical leadership, and global capabilities make us a trusted advisor for clients worldwide, across a wide range of services, including the Transaction Opinions, Transaction Advisory Services, Corporate Valuation Advisory Services, Portfolio Valuation and Fund Advisory Services, Real Estate Valuation and Advisory Services, and Dispute Resolution Consulting practices.

Transaction Advisory Services

Houlihan Lokey’s Transaction Advisory Services (TAS) practice assists private equity and corporate clients with financial, IT and tax due diligence, business analytics, and technical accounting matters associated with corporate mergers, divestitures, and acquisitions (M&A). Drawing on Houlihan Lokey’s market leadership in middle-market M&A transactions, our due diligence experts provide candid, unbiased, and rigorous support on matters most impacting deal value, and assist investors in identifying and evaluating key value drivers and risk factors.

TAS India

TAS India covers Financial due diligence, Accounting and financial reporting and Digital value creation services. We have a highly integrated ‘one-team’ working model where TAS India team members are fully embedded into an engagement lifecycle – from client pitch to client discussions through closure. They have similar exposure to project complexities and client situations as their counterparts in the global TAS teams, and work in similar ownership and accountability construct. With a strong industry orientation and innovation-focused environment, we offer a unique proposition comprising best-in-class functional, industry and technology competencies along with an exposure to global M&A markets.

Job Description

TAS is seeking talented professionals to join our fast-growing Digital Value Creation group (DVC) at the Associate level. DVC provides our clients value-creating insights from vast market, operational, and financial data. DVC professionals work closely with HL due diligence, valuation and investment banking teams alongside clients’ deal and operating teams. As a professional in the group, you will be teamed with highly talented and dedicated M&A professionals in various industry groups including Industrials, Consumer, Technology, Business Services and Financial Services. This opportunity provides you broad exposure to different transactional issues affecting businesses in an M&A environment.

This is a unique opportunity for someone with proficiency in data analytics along with experience in applying data analytics techniques to financial and operational analyses that is fundamental to an M&A process. DVC provides you ample exposure to the M&A and corporate finance industry and capital markets. You will further develop and extend your data analytics knowledge, and hone your interpersonal skills as you deliver valuable insights that derive transaction and strategic decision making for internal and external stakeholders.

Responsibilities

  • Participate in buy-side and sell-side M&A engagements and data-focused operational reporting engagements
  • Lead engagement tasks or workstreams within an engagement, taking ownership of the execution, and quality and timeliness of deliverable to clients
  • Communicate effectively with internal project teams as well as client teams, showing ability to put forth points of view and drive discussions towards required objectives
  • Gather, evaluate, sanitize, and organize applicable meta data
  • Prepare data workflows to clean and combine data from multiple sources
  • Prepare data visualizations and dashboards to deliver key insights
  • Generate insights on the drivers of business growth, profitability, and liquidity
  • Identify the key business risks and opportunities impacting business valuation
  • Be willing to learn and train peers in the advisory practice on data analysis and visualization tools
  • Continuously develop industry knowledge and qualifications
  • Be able to work on multiple assignments simultaneously
  • Support and actively participate in business development efforts
  • Review the work of team members to ensure desired quality and insights

Basic (must-have) Qualifications

  • Bachelor’s degree in technology / computer science / accounting / finance or quantitative finance, or similar (with concentration in data analytics or another quantitative field)
  • Experience in financial analytics based on sound understanding of financial statements like Profit & Loss and Balance sheet and ability to analyze financial and operating performance of a company
  • Hands-on experience in working on one of the data wrangling / ETL tool i.e. Alteryx, Dataiku etc.
  • Experience in, and sound knowledge of data visualization tools, either Tableau or Power BI
  • Strong command of Microsoft Excel formulas, PowerPivot, Power Query, etc.
  • Experience working in a global organization across different time zones, managing both internal and external stakeholders
  • Exceptional work ethic, high motivation, and a demonstrated ability and desire to work cooperatively with team members and client professionals
  • Strong analytical abilities
  • Conduct technical training and best practice sessions for team members
  • Exceptional verbal and written communication skills

Preferred (good-to-have) Qualifications

  • Post graduate degree or diploma, or certification in any of the above fields of study or business administration (for instance MBA, CFA, CQF etc.)
  • Experience in M&A and financial consulting areas such as Financial due diligence, Valuation, Financial Planning & Analysis will be a strong advantage
  • Strong command of at least one programming language Python, R, VBA
  • Prior work experience in relational database management systems (including experience in SQL Server, Snowflake, or similar)

Work experience

  • 3 (three) to 7 (seven) years of professional experience

AVP & Actuary, Risk Management – Reinsurance Risk

We are seeking an AVP & Actuary, Risk Management to join the Financial Risk oversight team, which is a part of the broader Enterprise Risk Management (ERM) function in the Office of the CRO. This team is focused on setting the parameters of risk management as they relate to the various financial risks, such as reinsurance and liquidity. This is a relatively new, dedicated oversight role at Lincoln, as ERM continues to grow! This position will play a pivotal role in building out the Reinsurance oversight function with an opportunity to support other risk oversight functions that intersect multiple teams across the enterprise, spanning Lincoln’s product suite.

 

You will work closely with risk managers to monitor risk exposures, assess risk mitigation strategies, and ensure compliance with regulatory requirements. The ideal candidate will have strong quantitative skills, experience with reinsurance and financial instruments, and a deep understanding of risk management practices.

What you’ll be doing

•Support the development of reinsurance risk frameworks through partnerships across the organization and thought leadership and expertise in risk management practices.
•Build out independent reinsurance risk reporting that captures risk profiles, monitors performance, various triggers, etc.
•Evaluate and monitor risks associated with strategic initiatives and existing infrastructure, including captives, affiliate transactions, and financial reinsurance solutions.
•Partner with reinsurance, finance, and business unit teams to ensure the implementation and effectiveness of risk management systems, tools, and models
•Collaborate with first line partners to implement reinsurance considerations into the risk appetite framework, including setting risk limits, thresholds, and reporting procedures
•Work with front-office teams to understand strategic initiatives, financial risks, and residual risk trading strategies, ensuring that risks are appropriately managed
•Provide effective challenge to strategic and tactical decisions
•Maintaining knowledge on current and emerging developments/trends in areas of specialization, assessing potential impacts and risks to Lincoln, and providing insights to management.
•Provide thought leadership on improvements to technological and operational efficiencies

What we’re looking for

Education 

•Bachelor’s degree in Finance, Mathematics, Actuarial Science, or a related field.
•Master’s degree or relevant professional certifications (e.g., CFA, FRM, FSA, CQF) is a plus.
•Fellow of the Society of Actuaries (FSA), or Career ASA with additional years of experience.

Experience 
•8+ years of experience in reinsurance, financial analysis, or a related field, preferably within the financial services industry. Experience working in a second line oversight role is a plus.
•Solid understanding of reinsurance structures including but not limited to financial reinsurance, captives, and offshore entities.
•Excellent quantitative and analytical skills with the ability to translate complex data into actionable insights.
•Strong written and verbal communication skills, with the ability to present complex risk information to senior stakeholders.
•High level of attention to detail, with the ability to identify and assess risks accurately and promptly.
•Strong programming skills (Python, VBA, SQL, etc.)
•Working knowledge of visualization software such as Tableau, PowerBI, etc.
•Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
•Knowledge of insurance capital structures is a plus.
•Ability to read, analyze and interpret both internal and external documents such as treaties, general media/publications, professional journals, technical procedures, governmental regulations, policies, proposals, and standard operating procedures.
•Ability to work collaboratively in cross-functional teams and manage multiple priorities.

Application Deadline

Applications for this position will be accepted through January 20th, 2026 subject to earlier closure due to applicant volume.

 

What’s it like to work here?

At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future.

 

What’s in it for you:

  • Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln’s core values and leadership attributes
  • Leadership development and virtual training opportunities
  • PTO/parental leave
  • Competitive 401K and employee benefits
  • Free financial counseling, health coaching and employee assistance program
  • Tuition assistance program
  • Work arrangements that work for you
  • Effective productivity/technology tools and training

 

The pay range for this position is $125,800 – $229,100 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees.  In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual.  Other rewards may include long-term incentives, sales incentives and Lincoln’s standard benefits package.

Senior Market Risk Analyst (f/m/d) – Axpo Group

Join Axpo Solutions AG and play a key role in shaping the future of energy markets. As a Senior Market Risk Analyst, you will focus on analyzing and reporting risk and P&L, ensuring robust risk control processes, and contributing to IFRS reporting. Bring your expertise and make an impact in a dynamic and innovative environment.

What you will do:

  • Perform daily analysis of market risk KPIs and reporting with focus on Prop Trading
  • Analysis of trading portfolios on their risk profile and discussion with front, management and other risk teams.
  • Close interaction with the Front about markets and strategies
  • Further develop the company’s framework of risk analytics (market, liquidity etc.) and Business Intelligence/Reporting
  • In-depth analyses of selected topics at request of head of Market Risk Management, Head RMV, Management Board, Group Functions, Audit etc.

What you bring & who you are:

  • University degree in finance/economics or other fields as long as with sound quantitative/mathematical background
  • Further professional qualification (e.g. CFA, FRM, CQF) are a plus
  • Knowledge of applied statistical & financial methods and modelling
  • Solid knowledge of financial instruments (Futures, Swaps, Forwards, Options) and their valuation
  • Experience in financial risk management
  • Experience in energy/commodity sector
  • Experience in PowerBI and optional: Experience in SQL, Python, Dataiku
  • Very good communication skills (written and oral)
  • Experience in interaction with front units and management in trading environment
  • Structured approach to projects
  • Fluency in English; German is a plus.

RC – Market risk – Manager – PWC

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Analyse and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone, and encourage others to do the same.
  • Effectively mentor others.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm’s code of conduct, and independence requirements.

Market And Counterparty Risk Analytics Professional Job Specification

Candidate would be responsible for developing, validating, auditing market risk valuations/models and counterpart credit risk models for trading, investment and corporate portfolios of global financial institutions. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives.

Experience level 6-10 years of experience;

Location: Bangalore

Core Skill Requirements

Candidate must have relevant experience in in statistical / mathematical modeling, quantitative research, counterparty and market risk management, or related field at a reputed bank, investment or broker services, asset management firm or a consulting firm. Wider skill requirements include:

  • Independently built and managed quantitative market and counterparty risk analytical models
  • Strong experience/knowledge in at least some of the following areas (in quant space)
  • Counterparty Credit Risk (PFE, CVA, XVA)
  • Pricing and valuation – Derivatives (across one or more asset classes)
  • Modeling of Risk Metrics (e.g, EPE, PFE, RWA, Greeks)
  • Market Risk Scenarios and Stress Testing
  • Development, prototyping and back-testing of Monte Carlo Credit Exposure Models
  • Incremental default risk, specific risk charge and stressed VaR
  • Worked on multiple Market Risk Models like to develop/review calculation of VaR(Historical, Parametric and Monte Carlo), RNiV, CCAR, IRC Model Validation/ development and present value for various type of instruments using any statistical tool
  • Strong experience/knowledge in at least some of the following areas (business knowledge)
  • Good knowledge of market risk concepts: Risk Factor, VAR, Earning at Risk, cash flow at risk, ETL, PV01, Independent Validation, Exotic derivatives, FX, Interest rate derivatives, volatility, commodities, credit derivatives, Fixed income, Hull & White, Monte Carlo simulation, Capital calculation
  • Knowledge and experience with counterparty risk concepts (PFE,SA-CCR, EPE etc
  • Leveraging experiential know-how of a wide range of financial products like Equity, Derivative, Swaps, IR, Credit derivatives, OTC products, Swaps, Securitization, CDO’s etc.
  • Knowledge of one or more of global regulatory Topics BASEL II/III, IFRS 9, CCAR/DFAST, CECL, FRTB, SR-11/7 around data sufficiency, modeling methods, industry standards etc.
  • Assisted clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure.
  • Programming and Algorithms: R, Python, SAS, Matlab, Scala, VBA etc.
  • Experience with with Murex, QRM, Reuters, FINCAD, Bloomberg and Algo is a plus

Non-functional skill requirements: In order to succeed in PwC Risk CoE, it is desirable for candidates to possess:

  • Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client’s business
  • Excellent oral and written communication skills
  • Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data
  • Process orientation with strong technical skills and attention to detail
  • Deep technical capabilities and industry knowledge of financial products
  • Willingness to travel to meet client needs, as needed

Educational Background

Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus

Quantitative C++ Developer

Susquehanna technologists are at the heart of where cutting-edge technology meets the fast-paced world of trading. Our growing teams build some of the most powerful trading systems in the financial industry and solve complex problems in a constantly changing environment. From large scale computations, real-time systems, high performance computing to petabytes of data. By integrating sophisticated coding techniques with innovative engineering ideas, we design and optimise systems that can process massive amounts of data while still ensuring high performance and stability. Collaborating with traders and quantitative researchers, our systems engineers, network architects, technical analysts and software developers create competitive edge through best-in-class technical solutions.

As a Quantitative Software Developer within our Equity Strategies team, you will have the opportunity to work closely with quantitative strategists, traders and the firm’s top technologists. Ideally, you will have a background in trading systems and want the chance to compete against the best systems in the world

What You’ll Do

  • Develop and enhance trading applications by designing, implementing, and delivering complex software systems that meet the business needs.
  • Solve complex problems by providing innovative and scalable solutions with a focus on high frequency and low latency automated trading.
  • Bring/gain a thorough understanding of the business domain (trading, strategies, market making, market data and low latency).
  • This is a hands-on role where you will thrive on the technology challenges. You will see your ideas and hard work used by experienced traders across a diverse range of instruments and markets.

What We’re Looking For

  • A bachelor’s degree (or higher) in a technical or related discipline
  • Quantitative postgraduate qualifications such as a Masters of Quantitative Finance (MQF) or Certificate in Quantitative Finance (CQF)
  • A minimum of 5 years in designing and developing applications using modern C++ on Linux, as well as proficiency in Python
  • Excellent attention to detail, accuracy and a thorough understanding of full life-cycle development and performance optimization/latency reduction methodologies.
  • A demonstrated track record of successfully delivering complex applications that meet demanding performance and scalability goals.
  • Experience in trading application development would be highly regarded.
  • Knowledge of financial products would be highly regarded.

What’s In It For You

Real Impact: As an essential member of the team, your role involves supporting, innovating, and optimising systems processing and models using massive amounts of data, all while ensuring high performance and stability. You’ll see how your contributions towards supporting leading-edge hardware and software technologies make a firm-wide impact that makes us all smarter, faster, and better.

Collaboration: You will partner closely with our Trading, Quantitative Research, Infrastructure and Strategy Developer Teams to develop and manage scalable and highly performant systems to support trading in the region.

Growth: We’re looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow.

Benefits: Susquehanna offers a wide array of competitive employee perks & benefits

Explore our benefits and culture : link

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

What We Do

Susquehanna’s deep integration of trading, technology and quant research makes us experts in trading essentially all listed financial products and asset classes, with a focus on derivatives. We handle millions of trading transactions around the world every day as both a market maker and market taker. Our efforts provide liquidity and ensure competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized to allow for a deep understanding of the unique drivers of each asset class.

Equal Opportunity Statement

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

FS-RISK CONSULTING-FSRM – QTB-SENIOR Requisition ID: 1665051

EY’s Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls.

 

Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities.

 

Within FSRM, the Quantitative Trading Book (QTB) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back-office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of QTB, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities.

 

 

Your key responsibilities

  • Demonstrate deep technical capabilities and industry knowledge of financial products
  • Lead components of large-scale client engagements and/or smaller client engagements while consistently delivering quality client services
  • Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client’s business
  • Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes
  • Play an active role in mentoring junior consultants within the organization

 

 

To qualify for the role, you should have:

  • Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics.
  • Working knowledge or academic experience of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods)
  • Knowledge of mathematical concepts and domain knowledge related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities
  • Strong risk management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.).
  • Good hands-on experience in model development/validation/monitoring/audit procedures (including Stress testing, Back-testing, Benchmarking, etc.).
  • Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory. Related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities
  • Development/Validation/Annual Review of Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models.
  • Knowledge of Estimating Idiosyncratic volatility (specific risk) and estimating Beta, Handling missing data in time series, Validating proxy time series.
  • Strong coding skills in Advanced Python or Java, C++ with combination of Statistical packages in R. Basic knowledge of SQL is expected.
  • Excellent communication and strong problem-solving skills.

 

Good-to-have:

  • Certifications such as FRM, CQF, CFA, PRM
  • Regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB.
  • Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptiv, Murex, Numerix, Bloomberg, RiskMetrics, Spectrum, EQF, etc.
  • Willingness to travel to meet client needs

FS-RISK CONSULTING-FSRM – QTB-SENIOR Requisition ID: 1665057

EY’s Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls.

Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities.

Within FSRM, the Quantitative Trading Book (QTB) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back-office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of QTB, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities.

Your Key Responsibilities

  • Demonstrate deep technical capabilities and industry knowledge of financial products
  • Lead components of large-scale client engagements and/or smaller client engagements while consistently delivering quality client services
  • Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client’s business
  • Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes
  • Play an active role in mentoring junior consultants within the organization

To qualify for the role, you should have:

  • Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics.
  • Working knowledge or academic experience of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods)
  • Knowledge of mathematical concepts and domain knowledge related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities
  • Strong risk management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.).
  • Good hands-on experience in model development/validation/monitoring/audit procedures (including Stress testing, Back-testing, Benchmarking, etc.).
  • Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory. Related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities
  • Development/Validation/Annual Review of Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models.
  • Knowledge of Estimating Idiosyncratic volatility (specific risk) and estimating Beta, Handling missing data in time series, Validating proxy time series.
  • Strong coding skills in Advanced Python or Java, C++ with combination of Statistical packages in R. Basic knowledge of SQL is expected.
  • Excellent communication and strong problem-solving skills.

Good-to-have:

  • Certifications such as FRM, CQF, CFA, PRM
  • Regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB.
  • Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptiv, Murex, Numerix, Bloomberg, RiskMetrics, Spectrum, EQF, etc.

FS-RISK CONSULTING-FSRM – QTB-MANAGER Requisition ID: 1665047

EY’s Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls.

 

Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities.

 

Within FSRM, the Quantitative Trading Book (QTB) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back-office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of QTB, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities.

 

 

Your key responsibilities

  • Demonstrate deep technical capabilities and understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client’s business.
  • Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes.
  • Play an active role in mentoring junior consultants within the organization.
  • Conduct performance reviews and contribute to performance feedback for Senior Consultants and Staffs
  • Contribute to people initiatives including recruiting talent
  • Stakeholder and client management
  • Play your part in developing intellectual capital to support delivering superior outcomes for client and firm.

 

 

To qualify for the role, you should have: 

  • Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics.
  • Working knowledge or academic experience of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods)
  • Knowledge of mathematical concepts and domain knowledge related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities
  • Strong risk management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.).
  • Good hands-on experience in model development/validation/monitoring/audit procedures (including Stress testing, Back-testing, Benchmarking, etc.).
  • Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory. Related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities
  • Development/Validation/Annual Review of Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models.
  • Knowledge of Estimating Idiosyncratic volatility (specific risk) and estimating Beta, Handling missing data in time series, Validating proxy time series.
  • Strong coding skills in Advanced Python or Java, C++ with combination of Statistical packages in R. Basic knowledge of SQL is expected.
  • Excellent communication and strong problem-solving skills.

 

Good-to-have:

  • Certifications such as FRM, CQF, CFA, PRM
  • Regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB.
  • Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptiv, Murex, Numerix, Bloomberg, RiskMetrics, Spectrum, EQF, etc.
  • Willingness to travel to meet client needs

FS-RISK CONSULTING-FSRM – QTB-MANAGER Requisition ID: 1665043

EY’s Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls.

Within EY’s FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities.

Within FSRM, the Quantitative Trading Book (QTB) team assists clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back-office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Practical implementation knowledge of risk and capital management is a key competency of QTB, focused on regulatory capital, market and counterparty credit risk management and broker-dealer capital requirements. Clients include large domestic and global financial institutions, broker-dealers, foreign banking organizations, asset management firms and insurance companies with significant capital markets activities.

 

Your key responsibilities

  • Demonstrate deep technical capabilities and understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client’s business.
  • Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes.
  • Play an active role in mentoring junior consultants within the organization.
  • Conduct performance reviews and contribute to performance feedback for Senior Consultants and Staffs
  • Contribute to people initiatives including recruiting talent
  • Stakeholder and client management
  • Play your part in developing intellectual capital to support delivering superior outcomes for client and firm.

 

To qualify for the role, you should have:

  • Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics.
  • Working knowledge or academic experience of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods)
  • Knowledge of mathematical concepts and domain knowledge related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities
  • Strong risk management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.).
  • Good hands-on experience in model development/validation/monitoring/audit procedures (including Stress testing, Back-testing, Benchmarking, etc.).
  • Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory. Related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities
  • Development/Validation/Annual Review of Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models.
  • Knowledge of Estimating Idiosyncratic volatility (specific risk) and estimating Beta, Handling missing data in time series, Validating proxy time series.
  • Strong coding skills in Advanced Python or Java, C++ with combination of Statistical packages in R. Basic knowledge of SQL is expected.
  • Excellent communication and strong problem-solving skills.

Good-to-have:

  • Certifications such as FRM, CQF, CFA, PRM
  • Regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB.
  • Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptiv, Murex, Numerix, Bloomberg, RiskMetrics, Spectrum, EQF, etc.
  • Willingness to travel to meet client needs

Actuarial Specialist – Commercial Pricing Modeler

Are you passionate about analyzing data and driving business outcomes through groundbreaking research? Nationwide is seeking a talented and driven Pricing Modeler – Commercial Actuarial to join our dynamic team. In this role, you’ll harness the power of data to deliver impactful results, working on sophisticated problems and uncovering valuable insights.

Why Join Us?

  • Impactful Work: Contribute directly to business outcomes through data-driven insights.
  • Collaborative Culture: Thrive in an agile environment with a supportive and collaborative team.
  • Career Growth: Advance your skills in a role that is critical to team restructuring and innovation

Key Responsibilities:

  • Research and implement actuarial, data science, statistical and machine learning techniques for business applications
  • Contribute to pricing modeling processes, ensuring industry standards are met and models are working as intended.
  • Collaborate to ensure consistent model assumptions, processes, and outputs are well understood.
  • Review and analyze model output to identify limitations and impacts.
  • Assist in crafting and updating model documentation for rationale, assumptions, and business continuity purposes.
  • Apply expertise to develop creative solutions to business problems.

Preferred Skills and Qualifications:

  • Bachelor’s degree in actuarial science, economics, statistics, mathematics, analytics or a related field. Graduate-level studies preferred.
  • Three or more years of related work experience in  predictive modeling or actuarial functions.
  • Progress toward actuarial credentials (ACAS, FCAS, or similar preferred).
  • Experience with techniques such as regression, classification, time series analysis, and machine learning.
  • Proficiency in SQL, Python (scikit-learn, pandas) or R, Github and common software such as Excel, PowerPoint.
  • Experience with feature engineering and data preprocessing.
  • Familiarity with data visualization tools/Ability to visualize data using Excel, Tableau or Power BI.
  • Strong written and verbal communication skills.
  • Excellent analytical and problem-solving skills.

 

Team Dynamics and Cultural Fit:

  • Collaborate with business partners across the finance organization to develop solutions to pressing business needs.
  • Work closely with the FIN P&C Property Modeling team, reporting to the Risk/Actuarial leader.
  • Contribute to a culture of innovation and continuous improvement.
  • This role can be staffed fully remote.

Work Arrangements:

  • It is highly preferred that this role will work on a hybrid schedule, with 2 days per week at one of our office locations in Columbus, OH, or Des Moines, IA.  Relocation assistance may be provided.

#LI-SM 1

Job Description Summary

Do you have the desire to analyze data and perform groundbreaking research to drive business outcomes? Nationwide has been using data to serve our members and drive business outcomes for almost 100 years. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. At Nationwide, our Risk Analytics Researchers play a key role in harnessing the power of data to deliver business results. Specifically, they are responsible for modeling sophisticated problems, discovering insights and identifying business opportunities from data using a variety of techniques from mathematics, actuarial studies, statistics, data science and financial engineering.

As a Researcher Specialist, you’ll work on projects associated with the design, development and application of unique risk models. You’ll need a basic understanding of broad business objectives and will work with business partners across the finance organization to develop solutions to pressing business needs. We’ll count on you to be a subject matter expert in Nationwide’s risks. It’s imperative that you are familiar with basic and sophisticated mathematical, statistical and analytical techniques associated with risk modeling.

Job Description

Key Responsibilities:

  • Assists in the research and implementation of financial engineering, data science and statistical techniques for risk management and business applications.
  • Supports regular testing of risk limits to provide management guidance on asset allocation, risk transfer and product growth decisions.
  • Aids with quantitative modeling processes. Understands industry standards and identifies if models are working as intended.
  • Collaborates to ensure that consistent model assumptions, processes, and outputs are well understood and that modeling standard methodologies are upheld.
  • Reviews and analyzes model output to identify model limitations and impacts.
  • Assists in crafting and updating model documentation for rationale, assumptions and business continuity purposes.
  • Applies expertise to develop creative solutions to business problems.
  • Acts as the technology lead for risk analytics.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills and Experiences:

Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Experience: Typically, three or more years of related work experience in financial risk modeling or actuarial functions.

Knowledge, Abilities and Skills: Knowledge of machine learning, stochastic processes, Monte Carlo simulations, sampling methods and other statistical techniques applicable to specialized risk modeling. Basic mathematical knowledge of specialized risk models such as those used in hedging, economic scenario generation, catastrophe, credit risk, etc. Experience with risk management operations such as asset-liability management, portfolio risk assessment, hedging, etc. Proficient written and verbal communication skills. Basic proficiency with Excel and common statistical software such as R, SAS, Python, or MATLAB.

Other criteria, including leadership skills, competencies and experiences may take precedence.

Staffing exceptions to the above must be approved by the hiring manager’s leader and Human Resources Business Partner.

Values: Regularly and consistently demonstrates Nationwide Values.

Job Conditions:

Overtime Eligibility: Not Eligible (Exempt)

Working Conditions: Normal office environment.

ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

Benefits

We have an array of benefits to fit your needs, including: medical/dental/vision, life insurance, short and long term disability coverage, paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date, nine paid holidays, 8 hours of Lifetime paid time off, 8 hours of Unity Day paid time off, 401(k) with company match, company-paid pension plan, business casual attire, and more. To learn more about the benefits we offer, click here.

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

Smoke-Free Iowa Statement: Nationwide Mutual Insurance Company, its affiliates and subsidiaries comply with the Iowa Smokefree Air Act. Smoking is prohibited in all enclosed areas on or around company premises as well as company issued vehicles. The company offers designated smoking areas in which smoking is permitted at each individual location. The Act prohibits retaliation for reporting complaints or violations. For more information on the Iowa Smokefree Air Act, individuals may contact the Smokefree Air Act Helpline at 888-944-2247.