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.

Principal, Internal Audit, Financial Risk and Modeling

This role will provide subject matter expertise and strong execution skills to the Internal Audit, Financial Risk and Modeling Audit Team, executing multiple concurrent projects such as model risk assessments, model validation monitoring, and detailed model testing supporting internal audits and validations.

The Principal will:

  • Support the implementation of strategic plans and advise on the Internal Audit procedures and guidelines.
  • Assess and opine on OCC’s implementation and maintenance of its financial risk management framework, confirming alignment with organizational objectives and regulatory requirements.
  • Coordinate the risk assessment activities with the Quantitative Risk Management (first-line) and Model Risk Management (second-line) teams.
  • Develop and execute assessments related to OCC’s Prefunded Resources (e.g., margin requirements, clearing fund contributions, stress testing of resource sufficiency, and liquidity risk monitoring).
    • Provide technical expertise and guidance to the IA team in executing their responsibilities.
    • Confirm proper scope and resource allocation to deliver on schedule.
    • Leverage advanced mathematical and statistical modeling and analysis techniques to assess model design and performance (e.g., model methodologies, assumptions, parameter calibration, input data quality, and model outputs).
    • Maintain the Internal Audit quality standards across all deliverables and collaborate with stakeholders to ensure that financial and operational risks are effectively identified, assessed, and managed.

Responsibilities

Responsibilities will be aligned, but not limited, to four pillars:

Department Oversight

  • Support and maintain IA infrastructure (Policies, Procedures, Standards, Guidance, Audit Universe, Risk Assessments, Co-Sourcing Management, Service Quality, Regulatory Management and Stakeholder Management) in alignment with Regulators, IIA Standards and OCC’s designation requirements.
  • Contribute to the development of annual budget recommendations supporting the risk-based audit plan.
  • Coordinate with the Operations team and Co-Source relationship to manage staffing needs for plan execution.

Leadership

  • Support the design and implementation of strategic initiatives related to audit programs/processes, technology, or other initiatives related to assurance and consultative services for Financial and Model Risk.
  • Plan, execute, and report on risk-based and special request audit assignments.
  • Identify regulatory, operational, and/or strategic risks to the organization and develop recommendations for improvements.
  • Build and maintain effective relationships with business groups and management.

Delivery

  • Contribute to the development of risk assessment and comprehensive audit plan.
  • Manage multiple audits and validations simultaneously.
  • Execute audit projects in accordance with the annual audit plan.
  • Confirm audit quality, accuracy of results, and timely delivery.

Quality

  • Apply professional principles and standards (e.g., AICPA, IIA GIA, COSO, SR 11-7) in risk management activities and control evaluations.
  • Maintain knowledge of policies, procedures, standards, and supporting technologies in risk identification and mitigation.
  • Stay informed of industry practices, model methodologies, and emerging risks within financial services and propose improvement recommendations.
  • Participate in department-wide activities such as peer reviews of audit deliverables.

Supervisory Responsibilities

  • None

Qualifications

  • Strong verbal and written communication skills with the ability to effectively convey complex information to various stakeholders.
  • Proven analytical and critical thinking abilities to address business challenges.
  • Ability to develop and present comprehensive reports and recommendations based on data analysis.
  • Demonstrated capability to manage multiple projects while meeting deadlines.
  • Ability to manage the assessment of quantitative models approaches and tools.
  • Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion.

Technical Skills

  • [Required] Proficiency in Microsoft Office applications.
  • [Required] Strong proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software.
  • [Preferred] Seasoned expertise on understanding and managing financial risks related to financial derivatives portfolios, particularly options on equities.
  • [Preferred] Experience in evaluating the pricing of complex derivatives and performing advanced statistical analysis on underlying risk factors.
  • [Preferred] Experience with reviewing and auditing risk management models for derivatives using methodologies such as Historical VaR, Monte Carlo simulation, TIMS and SPAN.
  • [Preferred] Proficiency in quantitative or statistical tools (e.g., Python, R, MATLAB, SAS) to support model audit and testing procedures.
  • [Preferred] Familiarity with model risk management practices including validation, backtesting, and performance monitoring.

Education And/or Experience

  • Minimum of 8 years working in a dynamic business environment
  • Proven track record of implementing and overseeing operational processes and procedures.
  • Experience in developing and maintaining professional relationships with internal and external stakeholders.
  • [Preferred] Industry-specific experience in relevant field (e.g., Financial Services, Technology, or related sectors)
  • [Required] Experience in financial risk model analysis or assessments and stress testing methodology.
  • [Preferred] Master’s degree in finance, economics or a quantitative field possessing strong quantitative, analytical, and problem-solving skills.
  • [Preferred] Experience with assessments or audits of Financial Risk Management or Models.

Certificates or Licenses

  • Certification such as Financial Risk Manager (FRM), Certificate in Quantitative Finance (CQF), Chartered Financial Analyst (CFA), Certified Financial Services Auditor (CFSA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.

About Us

The Options Clearing Corporation (OCC) is the world’s largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.

Benefits

A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:

  • A hybrid work environment, up to 2 days per week of remote work
  • Tuition Reimbursement to support your continued education
  • Student Loan Repayment Assistance
  • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
  • Generous PTO and Parental leave
  • 401k Employer Match
  • Competitive health benefits including medical, dental and vision

Visit https://www.theocc.com/careers/thriving-together for more information.

Compensation

  • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.
  • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.
  • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers
  • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.

Salary Range

$178,000.00 – $284,100.00

Incentive Range

23% to 30%

This position is eligible for an annual discretionary incentive compensation award, for which the target range is listed above (see Incentive Range). The amount of such award, if any, will be based on various factors, including without limitation, both individual and company performance.

Investment Analyst

Become Part of the Magnitude Team 

Magnitude Capital, a dynamic alternative investment firm, is seeking an investment analyst with hedge fund or similar experience to work as part of our tight-knit fund of hedge funds investment team. The ideal candidate will be an eager student of financial markets and investment decision making and will be proficient in data analysis and quantitative methods. This is an exceptional opportunity for you to further your career while working with industry veterans and contributing to investment decisions at the firm.

What you will do:

  • Support core investment team in complex portfolio decision-making. Engage with peers through effective written evaluations and frequent group discussions.
  • Leverage rigorous analytical techniques to assess hedge fund managers’ potential to generate diversifying risk-adjusted returns.
  • Conduct strategy and market research to evaluate hedge fund managers’ strategies and relevant risk factors.
  • Maintain and expand the analytical framework that drives portfolio management decisions.
  • Partner with the firm’s technologists to build and maintain processes that capture, organize, and evaluate risk and performance data for the portfolio and the industry.

What you have:

  • 2+ years of financial experience; front-office role at a hedge fund or proprietary trading firm preferred
  • Familiarity with relative value hedge fund strategies
  • Advanced quantitative and data analysis skills
  • Familiarity with Python, R, or other statistical programming techniques
  • Collaborative mindset and firm-first mentality
  • Strong written and verbal communication skills
  • High attention to detail
  • Excellent analytical skills
  • Proven track record of academic excellence
  • CFA, MFE, CQF or similar advanced education a plus

What we do:

The firm was founded in 2002 by senior hedge fund professionals and has become a top industry performer serving a diverse and growing institutional client base.  We are a team focused on building a world-class investment company through discipline, analytical rigor, and a results-oriented mindset.

What we offer:

  • Competitive total compensation
  • Benefits package – fully covered health insurance, generous 401K match, fertility services reimbursement program, tuition reimbursement program, parental leave, and more
  • Hybrid work schedule – Tuesday-Thursday in the office each week
  • Work that matters – work with a small team and have a big impact
  • Flexible work attire – no formal dress code
  • Quality food – catered meals from some of the best restaurants in NYC and fully stocked kitchen
  • Great teammates – people with discipline, creativity, intellectual curiosity, and a sense of humor
  • Exciting culture – analytical, open, collaborative, and collegial

Compensation:

The budgeted *salary* range starts at $130,000–$160,000. Total compensation will include salary, performance-based bonus, and full benefits. Total package will be commensurate with qualifications and experience and will be highly competitive relative to market. Actual pay will be adjusted based on experience.

Magnitude Capital, LLC is an equal opportunity employer. We are committed to fair hiring and promotion practices, and employee diversity will only benefit our team-based approach. We welcome exceptional candidates from all backgrounds to apply to Magnitude’s open positions.

Quantitative Analyst – Futuregrowth

This is an analytical role with specific focus on macroeconomic and policy developments and their implications for the local interest rate market. Reports to the Head of Interest Rates. This position is based in Rondebosch, Cape Town.

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.