Lead ALM Modeler

About the role

Build and analyze sophisticated models for insurance products, investments and/or portfolios to increase company risk adjusted returns. Leverage advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet modeling analytics to develop, test and validate models for various functions within the company.

Responsibilities

• Support modeling activities on various insurance liabilities, fixed-income assets and derivatives in actuarial systems, including AXIS/ALFA/MoSes.
• Model and quantify risks including equity and interest rate sensitivities, cash flow variability, credit, alternative investment, or liquidity risks.
• Collaborate with key stakeholders from business line valuation, ALM, risk management, and financial/risk reporting etc.
• Embrace new technologies to improve workflows.
• Build external or embedded controls to mitigate operating risks in workflows.
• Apply risk management techniques and procedures, including the company's mandated risk methodologies.
• Gather and analyze market data, calculate hedge program or portfolio statistics and develop/use models to simulate financial reporting processes.
• Serve as a company-wide expert in at least one specialty.
• Act as a subject matter resource for colleagues with less experience.
• Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources.
• Lead projects or project steps within a broader project, or have accountability for ongoing activities or objectives.
• May manage advanced research projects.
• Interpret internal or external issues and recommend solutions/best practices.
• Solve complex problems; take a broad perspective to identify solutions.
• Build efficient models and processes with minimal guidance.
• Apply judgment to modeling choices in a defensible manner.
• Assess the materiality of various modeling and data choices.

Qualifications

• Bachelor’s degree in a technical/quantitative discipline such as statistics, math, actuarial science, computer science, economics, engineering, or a related business field such as finance.
• Eight years of modeling experience (or six with Master's degree) with expert knowledge in two or more products such as insurance liability, asset valuation, derivatives modeling, liquidity management, machine learning, or artificial intelligence.
• Familiarity with asset liability management practices.
• Good understanding of investment and finance concepts, and the ability to creatively apply them in solving analytical problems.

Preferred Qualifications

• Advanced degree.
• Insurance or asset/derivatives modeling experience.
• Programming experience in C++/C#/Python or other advanced language.
• Actuarial Science background.
• Experience with database design and usage.
• MoSes/AXIS/ALFA or other actuarial software.
• QRM or similar asset liability software.
• SAS, R, SPSS or other statistical software.