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.
  • 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


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
  • 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


Preferred Qualifications

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


Working Conditions

  • Office Environment
  • Hybrid office environment (Tuesday, Wednesday, Thursday)
  • Locations: Denver, Cedar Rapids, Baltimore

Compensation

The Salary for this position generally ranges between $88,000-105,00n annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.

Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration, sponsorship or otherwise serving as an employer of record for immigration employment purposes. At this time, this role is not eligible for immigration-related employment authorization sponsorship.


This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.