We are seeking a highly motivated Quantitative Developer to join our team and play a key role in advancing our Asset Liability Management (ALM) capabilities. This individual will be instrumental in developing and advancing ALM modeling infrastructure, enhancing automation, and collaborating with cross-functional partners across Investments, Asset Allocation, Actuarial, Finance, and Technology leadership to drive innovation in strategy and scenario-based analysis. The successful candidate will contribute to the continued development and execution of ALM-related initiatives, supporting the firm's long-term strategic objectives and risk management framework.
Key Responsibilities- Design and development of ALM model architecture including building out asset analytics, projected portfolio construction and core ALM modeling framework.
- Establish and evolve the asset assumption framework, including interest rate and spread curves, reinvestment assumptions, prepayment models and behavioral overlays, ensuring assumptions reflect current market conditions and portfolio strategy.
- Drive strategic balance sheet analysis in quantitative and qualitative measures, translating ALM model output into actionable insights on portfolio positions, liability matching, duration management, and hedging strategy.
- Develop and enhance scenario and sensitivity frameworks to stress-test balance sheet resilience across interest rate, credit and liquidity risk dimensions.
- Identify and evaluate strategic optimization opportunities across the asset portfolio, including sector allocation, instrument selection, and hedging overlays.
- Own the quantitative methodology underpinning key ALM metrics - including duration, convexity, surplus volatility, and liquidity coverage - and drive continuous improvement in modeling sophistication
- Collaborate with senior stakeholders to communicate complex quantitative findings clearly, supporting board-level and regulatory reporting requirements
Qualifications- 5-7 years of experience in a quantitative, financial engineering, or ALM-focused role within insurance, banking or other financial institution.
- Bachelor's degree in Mathematics, Engineering, Computer Science, Finance, or a related quantitative field
- FSA, CFA or an advance degree is preferred
- Proficiency in Python and SQL; experience with Excel/VBA required
- Experience working with an enterprise ALM Modeling platform (including but not limited to one of Moody's Axis, Prophet, ALFA/Integrate)
- Familiarity with Fixed Income Asset Valuation and Projection Platforms (including but not limited to Blackrock Aladdin, Numerix CrossAsset / PolyPaths, Beacon, Bloomberg MARS).
- Solid understanding of insurance ALM concepts including liability-driven investing (LDI), cash flow matching, interest rate risk, and liquidity risk management
- Familiarity with insurance liability structures such as annuities, life insurance or other long duration products.
- Knowledge of statutory and GAAP reporting frameworks relevant to life insurance (US STAT/GAAP, BMA, IFRS).
- Strong analytical and problem-solving skills with a high attention to detail
- Ability to communicate complex quantitative concepts clearly to non-technical stakeholders
- Ability to work efficiently both in a team setting, and independently.
What We Offer- Opportunity to work with a high-performing, collaborative team at the intersection of finance, strategy, and investment.
- Exposure to sophisticated investment structures and institutional capital partners.
- A culture that values integrity, partnership, and long-term thinking.
- Competitive compensation and benefits package.
*The pay range listed below is dependent on individual candidate experience and skills and is based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including experience and expertise, and may vary from the amounts listed here.
The pay range for this role is:
175,000 - 200,000 USD per year (New York)
