Selby Jennings
A leading insurance and financial services firm, that specializes in retirement and life insurance solutions for individuals and institutions is currently looking to hire a ALM Associate. This position plays a key role within its ALM team managing financial risk and supporting strategic decisions, working closely with leaders across Risk, Actuarial, Investments, Finance, and IT.
Key Responsibilities
Risk Monitoring & Reporting : Generate, analyze, and interpret ALM reports to monitor asset, liability, and derivatives exposures. Identify emerging risks and trends that could impact the firm's financial position. Tool Development & Enhancement : Design, build, and refine ALM analytics tools and dashboards to improve the accuracy, efficiency, and clarity of risk assessments and reporting processes. Cross-Functional Collaboration : Present findings and insights to interdisciplinary teams during ALM Working Group sessions. Facilitate discussions that drive alignment on risk strategies and capital allocation. Data Integrity & Governance : Partner with internal stakeholders to ensure the accuracy, consistency, and completeness of data used in ALM models and reports. Quantitative Research & Scenario Analysis : Conduct in-depth quantitative research, stress testing, and scenario analysis to evaluate the impact of market movements, policy changes, and strategic initiatives. Strategic Support : Provide ad hoc modeling and analytical support for high-impact projects, including new product development, capital planning, and regulatory initiatives. Qualifications & Skills Experience : Minimum of 2 years of relevant experience in ALM, market risk, derivatives, investment risk, or a related financial discipline. Technical Proficiency : Strong programming and data analysis skills, with demonstrated proficiency in
Python
(required). Experience with SQL, R, or other analytical tools is a plus. Financial Acumen : Solid understanding of fixed income instruments, derivatives (e.g., swaps, options, futures), and risk management frameworks. Asset Class Knowledge : Familiarity with a broad range of asset classes including equities, credit, foreign exchange, and structured products. Communication Skills : Strong written and verbal communication skills, with the ability to translate complex quantitative findings into actionable insights for non-technical stakeholders
Key Responsibilities
Risk Monitoring & Reporting : Generate, analyze, and interpret ALM reports to monitor asset, liability, and derivatives exposures. Identify emerging risks and trends that could impact the firm's financial position. Tool Development & Enhancement : Design, build, and refine ALM analytics tools and dashboards to improve the accuracy, efficiency, and clarity of risk assessments and reporting processes. Cross-Functional Collaboration : Present findings and insights to interdisciplinary teams during ALM Working Group sessions. Facilitate discussions that drive alignment on risk strategies and capital allocation. Data Integrity & Governance : Partner with internal stakeholders to ensure the accuracy, consistency, and completeness of data used in ALM models and reports. Quantitative Research & Scenario Analysis : Conduct in-depth quantitative research, stress testing, and scenario analysis to evaluate the impact of market movements, policy changes, and strategic initiatives. Strategic Support : Provide ad hoc modeling and analytical support for high-impact projects, including new product development, capital planning, and regulatory initiatives. Qualifications & Skills Experience : Minimum of 2 years of relevant experience in ALM, market risk, derivatives, investment risk, or a related financial discipline. Technical Proficiency : Strong programming and data analysis skills, with demonstrated proficiency in
Python
(required). Experience with SQL, R, or other analytical tools is a plus. Financial Acumen : Solid understanding of fixed income instruments, derivatives (e.g., swaps, options, futures), and risk management frameworks. Asset Class Knowledge : Familiarity with a broad range of asset classes including equities, credit, foreign exchange, and structured products. Communication Skills : Strong written and verbal communication skills, with the ability to translate complex quantitative findings into actionable insights for non-technical stakeholders