We are looking for a senior professional to lead actuarial modeling and risk analytics initiatives across Nationwide’s Finance and Risk Analytics teams. The role blends advanced asset modeling responsibilities with strategic risk analysis to support senior leadership in data‑driven decision making.
Location
Hybrid or Remote.
Reporting To
AVP, Risk Modeling and Capital Management Leader.
Responsibilities
- Develop and enhance asset data processes to enable efficient modeling of those assets for production and ad‑hoc analysis.
- Drive the asset modeling function—translating strategic priorities into operational reality, aligning communication, accountabilities, resource capabilities, and internal processes to ensure measurable and sustainable results.
- Lead implementation of complex asset types (structured securities, hybrid securities) and investment/reinvestment strategies, cash flow behaviors, and regulatory requirements in Moody’s AXIS and MG‑ALFA.
- Oversee quality engineering (QE) asset model staging for production across multiple lines of business.
- Lead asset modeling for annual asset adequacy tests (AAT).
- Train and onboard associates on asset modeling in Moody’s AXIS or MG‑ALFA.
- Understand and assess key business needs; proactively own the strategic development of appropriate quantitative modeling solutions.
- Collaborate with organizational departments to accomplish strategic goals, objectives, and initiatives.
- Build risk analytic strategies for business problems through collaboration, consultation, and driving expectations.
- Lead in the understanding and analysis of models across the enterprise, ensuring model assumptions, processes, and outputs are well understood and that modeling standard methodologies are upheld.
- Craft clear and concise summaries of findings and recommendations; use impactful storylines and data visualization for technical and non‑technical audiences.
- Drive business value through strategic communication of modeling solutions to leaders.
- Lead all aspects of development, testing, implementation, and administration of quantitative modeling processes and tools.
- Evaluate and rank quantitative solutions for business problems; lead governance of modeling tools and ensure consistent application.
Required Education, Experience, and Skills
- Bachelor’s degree in finance, accounting, economics, statistics, mathematics, or a related field.
- At least 7 years of related experience in financial risk modeling or actuarial functions.
- Strong Moody’s AXIS and/or MG‑ALFA modeling skills with thorough understanding of asset modules, fund level assumptions, and reinvestment switches/options.
- Solid understanding of all investment asset types.
- Proficiency in at least one programming language for quantitative analysis (Python, R, MATLAB, SQL, etc.).
- Proficient in Microsoft Excel.
- Advanced mathematical and statistical knowledge, including stochastic processes, Monte Carlo simulations, sampling methods, and machine learning techniques applicable to specialized risk modeling.
- Strong communication and presentation skills; able to articulate complex modeling concepts to senior leaders.
- Advanced proficiency with Excel and PowerPoint.
Preferred Criteria
- 10 years of relevant asset modeling experience.
- FSA designation.
- Progress toward FCAS, FSA, CQF, CFA or similar.
- Advanced understanding of risk management operations such as asset‑liability management, portfolio risk assessment, and hedging.
Compensation
Salary range: $ – $.
Benefits (Summary)
- Medical, dental, and vision coverage.
- Life insurance, short‑term and long‑term disability.
- Paid time off (minimum 18 days for new hires, nine paid holidays, car‑punch leave).
- 401(k) with company match and pension plan.
- Business casual attire.
Job Purpose:
The role holder has the responsibility to provide maintain and improve market risk reporting infrastructure and tools for the bank. The role holder is expected to develop and implement measures leading to the automation and streamlining of existing processes, collaborating with other departments to policies are accurately captured and processed through the risk systems.
Roles & Responsibilities:
- Assess risk management systems problems and comply with market risk policies.
- Comply with SLA for delivery of risk reports.
- Conduct model variation exercises for Market Risk Measurement
- Analyze financial statistical data quantitatively and qualitatively.
- Ensure strict compliance of RBI and other regulatory guidelines.
- Evaluate pricing and valuation models suitability within business context.
- Present ideas via reports and presentations, outline findings and market recommendations for improvements.
- Gather Latest Market intelligence and track and benchmark against best practices in competitor banks.
- Support risk reporting production by Market Risk Reporting & Analytics team.
- Develop and deliver risk training and reporting that is tailored to the relevant audience.
- Capture and share best- practice knowledge amongst the team.
- Recommend improvements to processes and policies across the Retail Banking business to drive operational efficiencies and high-quality customer service.
- Leverage in-house synergies through collaboration with internal stakeholders.
- Adopt a solution-oriented approach to problem-solving.
Education Qualification: MBA in Finance / Masters in Statistics, Mathematics, Operation Research.
FRM/CFA/CQF is added advantage.
Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward — and for careers to take flight.
Lazard Wealth, LAM’s wealth management business, collaborates with our clients to help solve and simplify the complexities of wealth, while delivering sophisticated investment solutions and advice. We combine years of history and experience to help preserve and grow our clients’ wealth across generations. The principal areas of focus with clients are strategic advice and planning, investment management and direct private investments. Working in partnership with families, we customize an investment process that meets their specific needs.
We are seeking a Vice President of Portfolio and Quantitative Analytics to play a critical role in supporting and overseeing quantitative and risk management functions within our firm. You will be responsible for developing and implementing effective risk management strategies, programming models, reports, and procedures across client portfolios, market research, and technology solutions.
We’ll trust you to:
- Develop and maintain models and tools to identify and monitor portfolio risk factors, stress test portfolios, and ensure compliance with risk management guidelines.
- Proactively monitor market conditions and perform scenario analysis to assess potential impacts on portfolio risk exposures and recommend necessary adjustments.
- Participate in portfolio and investment decisions and contribute to the development of investment strategies, asset allocation models, privates modeling and risk management frameworks- incorporating quantitative research insights.
- Utilize advanced statistical techniques and quantitative models to assess portfolio and investment risk, estimate potential returns, and optimize portfolio construction in order to deliver performance attribution analysis, factor-based exposures, and portfolio optimization.
- Stay updated on the latest industry trends and research advancements in risk management, quantitative analysis, and portfolio construction methodologies.
- Collaborate with other groups within the Firm to offer quantitative support and industry specific input.
- Support the Investment Team with quantitative research and analysis of investment opportunities across various asset classes, including equities, fixed income, and alternative investments (privates and real assets) with a strong focus on risk management and portfolio construction.
- Evaluate and implement risk management techniques, such as hedging strategies, derivatives, and asset allocation adjustments, to mitigate portfolio risks and enhance risk-adjusted returns.
You’ll need to have:
- Proven experience in risk management, quantitative research, or a related role within the wealth management industry.
- Proven experience in MATLAB for programming and software development.
- Strong understanding of risk management principles, quantitative modeling techniques, and statistical analysis.
- Highly proficiency in programming languages such as R or MATLAB for quantitative research, data analysis, model implementation and creation of interactive dashboards.
- Strong ability to access, manipulate, and clean large data sets from various databases and sources.
- Ability to prioritize and manage multiple tasks and projects effectively.
- Experience with risk modeling software, quantitative analytics platforms, and market data providers (e.g. Bloomberg).
- Familiarity with risk measurement methodologies (e.g., VaR, stress testing, factor analysis) and risk management frameworks (e.g., risk budgeting, risk-adjusted performance metrics).
- Knowledge of financial derivatives, options pricing models, and portfolio optimization techniques.
- Excellent problem-solving and critical-thinking skills, with the ability to analyze complex data sets and draw meaningful insights.
- Strong communication and presentation skills, with the ability to explain quantitative concepts to non-technical stakeholders.
- Bachelor’s degree in finance, economics, mathematics, statistics, or a related field. Advanced degree (e.g., MBA, MSc) with a focus on quantitative finance or risk management is preferred.
- 5-10 years’ experience in a risk management, analytical, or quantitative role, particularly within the asset allocator and wealth management space.
- Demonstrates a strong interest in working on a wide range of problems related to diverse asset classes and investment strategies. Understanding or interest in learning about alternative asset classes.
- Professional certifications such as FRM, CQF, or CFA are desirable.
