Modeler - Asset Liability Management (ALM)

About the role

The Modeler - ALM Modeling will build and analyze sophisticated models for insurance products, investments and/or portfolios to increase company risk adjusted returns. Leverages 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

• Model and quantify risks including equity and interest rate sensitivities, cash flow variability, credit, alternative investment, or liquidity risks.
• 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.
• Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources.
• Interpret internal or external issues and recommend solutions/best practices.
• Solve complex problems; take a broad perspective to identify solutions.
• 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
• Academic or job exposure to at least one area product such as insurance liability, asset valuation, derivatives modeling, liquidity management, machine learning, or artificial intelligence
• Good understanding of investment and finance concepts, and be able to creatively apply them in solving analytical problems in the business setting
• Advanced degree (preferred)
• Insurance or asset/derivatives modeling experience (preferred)
• Actuarial Science background (preferred)
• Experience with database design and usage (preferred)
• 2+ years of programming experience in C++/C#/Python or other advanced language (preferred)
• SAS, R, SPSS or other statistical software experience (preferred)

Benefits

• Competitive Pay
• Bonus for Eligible Employees
• Benefits Package
• Pension Plan
• 401k Match
• Employee Stock Purchase Plan
• Tuition Reimbursement
• Disability Insurance
• Medical Insurance
• Dental Insurance
• Vision Insurance
• Employee Discounts
• Career Training & Development Opportunities
• Paid Time Off starting at 160 hours annually for employees in their first year of service
• Ten (10) paid holidays per year (typically mirroring the NYSE holidays)
• Be Well Company holistic wellness program (includes Wellness Coaching and Reward Dollars)
• Parental Leave – fifteen (15) days of paid parental