Manager, Risk Management

Analytics Stamford, Connecticut


Position at Group1001

Group1001 is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture. Group1001’s culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes. This goal extends to how we hire and onboard our most valuable assets – our employees.

RVI Group is a Stamford based residual value insurance company serving both lessors and investors in the passenger vehicle, commercial equipment and commercial real estate markets.  Residual value insurance protects against a decline in market value of tangible assets and is a critical tool for asset risk and lease accounting. The flexibility of residual value insurance allows us to tailor coverage to meet the objectives of each unique client.


We are seeking a Manager for the Quantitative Analysis Team. This individual must have substantial experience in the finance and/or insurance industries as well as excellent analytical and modeling capabilities. Primary responsibilities include development of underwriting analyses for current and potential clients, management of financial risk models and execution of market research and project modeling for all lines of business. This position will also perform quantitative analysis and financial risk modeling to support new product development for both North American and international markets.

This individual must be able to deliver high quality work product with strong attention to detail as well as collaborate effectively with other employees and departments throughout RVI. This position may manage a small team.


  • Conduct underwriting analyses for Passenger Vehicle’s current and potential clients
  • Supervise and manage all the financial risk models
  • Maintain and improve the pricing template for all lines of business
  • Conduct market research and provide quantitative modeling to support the development of new products and new business
  • Provide all requested reports and analyses to auditors and rating agencies


  • Prepare presentations to support sales efforts for both insurance and RVI Analytical Services
  • Support RVIAS projects 


Education and Experience:

  • Master’s degree or above in Economics, Finance, Statistics, or related field
  • 5-10 years’ experience in an analytical position, preferably in finance and/or insurance industries
  • 3-5 years’ experience in managing people
  • Knowledge of automotive or commercial equipment industries is a plus


Technical Knowledge / Skills:

  • Excellent skills and experience in data analysis and financial risk modeling
  • Proficient in Microsoft Excel and working knowledge of statistical software such as R, STATA or SAS. Programming knowledge in Python is a plus
  • Ability to deliver results while working on multiple projects, processes or tasks

Key Competencies (self-management, collaboration and leadership)

  • Ability to work independently to solve complex problems with limited oversight
  • Strong initiative and ability to manage multiple projects, ensuring timely completion
  • Strong work ethic displaying personal initiative and accountability
  • Excellent interpersonal, leadership and collaboration skills with all levels of organization
  • A strategic thinker with good judgement, able to effectively manage priorities and challenges
  • Excellent written and verbal communication skills
  • Motivated and able to learn new subjects, tasks and skills quickly with strong intellectual curiosity


RVI Group offers competitive compensation, an excellent benefits package, a 401(k) Plan, and education assistance.  For more information on the Company, please visit our website at  The RVI Group is an equal opportunity employer.  Background checks are required. If you are interested in applying for this position, please forward your resume on to [email protected]