Actuary Analyst

Role Overview

• 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.
• 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.
• 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.
• 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.

Requirements

• 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
• Three years of modeling experience (or one with Master's degree) and knowledge of at least one product such as insurance liability, asset valuation, derivatives modeling, liquidity management, machine learning, or artificial intelligence
• Good understanding of investment and finance concepts, and the ability to creatively apply them in solving analytical problems
• Advanced degree (preferred)
• Insurance or asset/derivatives modeling experience (preferred)
• Actuarial Science background (preferred)
• Experience with database design and usage (preferred)
• Programming experience in C++/C#/Python or other advanced language (preferred)
• MoSes/AXIS/ALFA or other actuarial software (preferred)
• QRM or similar asset liability software experience (preferred)
• SAS, R, SPSS or other statistical software experience (preferred)

Tech Stack

• Python

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
• Health and Work/Life Balance Benefits
• 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 New York Stock Exchange (NYSE) holidays).
• Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars
• Parental Leave – fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child.
• Adoption Assistance
• Employee Assistance Program
• Back-Up Care Program
• PTO for Volunteer Hours
• Employee Matching Gifts Program
• Employee Resource Groups
• Inclusion and Diversity Programs
• Employee Recognition Program
• Referral Bonus Programs