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Location: India

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

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

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-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-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

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

FIN Global Middle Office ED

Valuations Control at Nomura is primarily responsible for understanding, reviewing and testing the marks and valuation adjustments used to value trading positions. The main functional responsibilities include frequent IPV; ensuring that the appropriate accounting principles and reserves are applied to reach fair value; calculation of Prudential Valuation capital adjustment; development and application of rules for fair value hierarchy classification; partnering with the Front Office and other support groups in facilitating and approving new products and initiatives, in particular determining reserving and revenue recognition approaches. This involves a close working relationship with the Front Office as well as all primary support partners including Market, Credit and Model Risk Management, Quants, Operations, other Finance teams and Legal.

Market Risk + Counterparty Credit Risk Management – Practice Leader

We are seeking a seasoned Traded Risk Practice Leader to drive growth, delivery excellence, and capability development across Market Risk and Counterparty Credit Risk (CCR) domains. The role blends domain leadership with business growth responsibilities which include shaping strategy, strengthening client relationships and expanding the firm’s Traded Risk franchise across global financial institutions.

Senior Principal Quantitative Analyst_

The Senior Principal Quantitative Analyst plays a critical role in ensuring the accuracy, integrity, and reliability of quantitative data that powers Morningstar’s financial models, analytics, and decision-making processes.

This role is a cornerstone of the Managed Investment Data (MID) program, which collects, standardizes, and enriches global fund data—supporting investors, advisors, and institutions through trusted data and insight.

The analyst will lead quantitative data quality design and implementation, develop AI/ML-based validation frameworks, and collaborate with cross-functional teams to strengthen data governance and model readiness.

This role reports to the Director, Quality & Transformation within the Managed Investment Data team based in Mumbai.

Job Responsibilities

  • Lead the design, implementation, and enhancement of quantitative data quality frameworks, encompassing statistical validation and anomaly detection.
  • Develop AI/ML-driven predictive quality checks, enabling proactive data error prevention and model trustworthiness.
  • Apply advanced statistical methodologies — linear/non-linear modeling, time series analysis, and Bayesian inference — to detect quality drifts and signal inconsistencies.
  • Collaborate with quantitative researchers, data scientists, and engineers to ensure data readiness for quantitative models and investment algorithms.
  • Create automated, scalable, and auditable data validation pipelines, supporting real-time data monitoring and exception reporting.
  • Partner with stakeholders to uphold data governance, privacy, and regulatory compliance standards (MiFID, ESMA, SEC).
  • Mentor and guide junior analysts, fostering a culture of excellence, continuous learning, and innovation in quantitative analysis.
  • Communicate complex data quality insights and statistical findings in simple terms to senior leadership and non-technical stakeholders.
  • Drive innovation through automation, reproducible modeling pipelines, and deployment of ML-based data correction systems.
  • Contribute to the modernization of Morningstar’s data architecture by integrating data observability, telemetry, and metadata-driven quality measures.

Requirements

  • Strong foundation in quantitative finance, econometrics, and applied statistics.
  • Deep understanding of financial instruments, fund structures, and performance modeling.
  • Proven ability to work with large-scale, structured and unstructured data.
  • Excellent analytical, problem-solving, and statistical reasoning skills.
  • Strong stakeholder management, communication, and presentation skills.
  • Ability to work in a cross-functional, fast-paced environment, and lead through influence.

Desired Candidate Profile

  • Master’s degree in Statistics, Mathematics, Financial Engineering, Data Science, or Quantitative Finance.
  • Professional certifications such as CFA, FRM, CQF, or Six Sigma Black Belt preferred.
  • 10+ years of experience in quantitative analytics, model validation, or data quality engineering within financial services, asset management, or fintech.
  • Expertise in Python, R, SQL, and familiarity with tools such as MATLAB, SAS, or TensorFlow.
  • Experience in AWS ecosystem (S3, RDS, Glue, Athena) and modern data quality platforms.
  • Hands-on experience with AI/ML frameworks (scikit-learn, PyTorch, TensorFlow) for anomaly detection and predictive data correction.
  • Familiarity with data governance and regulatory standards (GDPR, SEC, ESMA, MiFID).
  • Proficiency in Lean, Agile, and automation-first approaches for process improvement.
  • Entrepreneurial mindset with a passion for innovation and scalability.
  • Strong leadership, mentorship, and collaboration abilities.
  • Flexible to adapt to evolving data and technology landscapes.

Key Competencies

  • Statistical Expertise: Deep proficiency in hypothesis testing, regression modeling, and time-series forecasting.
  • AI/ML Integration: Building and deploying predictive quality and anomaly detection models.
  • Automation Mindset: Experience with data pipelines, ETL automation, and observability frameworks.
  • Data Governance: Comprehensive understanding of metadata management, lineage, and auditability.
  • Business Acumen: Translating technical insights into actionable business intelligence.
  • Leadership: Guiding teams through analytical rigor, innovation, and continuous improvement.

Credit Risk – Manager – Bangalore – 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.

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.