The Asset Liability Management (ALM) Risk Associate supports the Head of ALM Risk within Enterprise Risk Management across Economic Capital (EC), ALM, and liquidity risk. The successful candidate is technically strong, leverages AI to deliver high-quality work faster, and can translate complex analysis into clear, practical recommendations.
You are
• A technically strong actuary or risk professional who enjoys turning complex questions into working analytics.
• A dependable owner of production work who balances rigor, accuracy, and timely delivery.
• A strong project manager who effectively coordinates priorities, stakeholders, and timelines to drive projects through successful delivery.
• An early adopter of AI who uses it to work faster and smarter while applying sound judgment and verifying results.
• A collaborative partner who works effectively across actuarial, risk, finance, treasury, and investment disciplines and can clearly explain results, uncertainty, and tradeoffs.
You have
Required:
• 5+ years of relevant experience in life insurance or annuity actuarial work, ALM, economic capital, or related discipline.
• Modeling experience, such as cash-flow projection, liability valuation, or capital modeling.
• A bachelor's degree in actuarial science, mathematics, statistics, finance, or a related quantitative field is required.
Preferred:
• Strong project management skills, with the ability to coordinate priorities, stakeholders, and timelines to drive projects through successful delivery.
• Strong attention to detail, with a commitment to accuracy and quality in all analytical and production work.
• Demonstrated experience, or strong interest, in using AI tools to improve productivity and the quality of analytical work.
• Associate of the Society of Actuaries (ASA) or Fellow of the Society of Actuaries (FSA) designation.
You will
• Manage and optimize economic capital, including production of economic capital results, analysis of key drivers, and identification of opportunities to improve capital efficiency across products, assets, and reinsurance.
• Support ALM initiatives, including enhancements to ALM analytics, limits monitoring, reporting, and process automation.
• Lead User Acceptance Testing (UAT) and ongoing validation of the EC and ALM user interfaces, partnering closely with third-party vendors to test new model releases, evaluate enhancements, identify defects, and ensure solutions meet business, risk management, and production readiness requirements.
• Assess and monitor liquidity risk, including stress testing, liquidity metrics, and preparing presentations to senior stakeholders.
• Own production work on a recurring cycle, including running models, validating inputs and outputs, reconciling results, and delivering timely, accurate reports and dashboards.
• Leverage AI to complete the work: use approved AI tools to accelerate analysis, automation of production workflows, testing, and documentation. Independently verify AI-assisted outputs, protect confidential data, and keep models transparent, reproducible, and well documented.
• Partner with Actuarial, Finance, Investments, Treasury, Product, and business teams to obtain reliable data, align assumptions, and translate ALM, capital, and liquidity insights into practical recommendations.
• Serve as a technical resource on economic capital, ALM, and liquidity risk, providing guidance to cross-functional partners and senior stakeholders and sharing modeling and analytical practices with colleagues.
• Support model governance, including documentation, data quality controls, testing, and change management, and respond to independent validation and audit requests.
Reporting Relationships
This position reports to the Head of ALM Risk within Enterprise Risk Management.
Location
Hybrid: 3 days in the Hudson Yards NYC office, 2 days WFH.
Travel
0% travel is required for this position.
Salary Range:
$121,350.00 - $199,365.00
The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.
