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Lead Quantitative Analyst

Req Id:  2776
Job Location: 

Morristown, NJ, US, 07960

Brighthouse Financial is on a mission to help people achieve financial security. Built on a foundation of industry knowledge and experience, we specialize in offering essential annuity and life insurance products designed to help customers protect what they’ve earned and ensure it lasts more predictably. In an industry that often has a reputation for complexity, confusion, and cost, Brighthouse Financial is different. Our approach includes simplicity, transparency, and more value so customers can face the future with confidence.


Brighthouse Financial is seeking passionate, high-performing team members to help us carry out our mission and be part of an exciting journey toward improving the financial futures of our millions of customers. Sound like you? Read on.


Role Value Proposition:

This position supports variable annuity asset liability management strategy and corporate development and will report to the Head of Strategic Analysis.  Focus is on actuarial and financial modeling, sensitivity analysis, pro-forma projection and big data analysis as a researcher to support risk and capital management strategy development. This individual will support the Strategical Analysis team in building analytic tools, identifying and measuring the key risk factors and prototype analysis and reporting package. The individual will play a leading role in developing and improving the ever-evolving hedge related reporting and analysis. Strong technical skills in analysis and reporting using MS Office, database and big data processing using Python and other programming languages will be key to success.


Key Responsibilities:

  • Support the hedging and risk management of variable annuities with living benefit riders (VA), fixed annuities (FA), and structures indexed annuities (SIA)
  • Be responsible for building and enhancing analysis tool and tool package to identify and measure risk factors in various stages of the risk management,
  • Build new and modify existing actuarial and derivatives models
  • Familiar with all reporting metrics that governor a public insurance company and keen in understanding and responding to the impact of regulation and reporting changes on capital and risk management
  • Work closely with various constituents, including pricing and product development, valuation, experience study, investment, derivative trading, capital management, etc
  • Perform analysis using Python, MS Office products, SQL, Matlab, etc.
  • Be able to build strong working relationship with constituents in and outside of the team


Essential Business Experience and Technical Skills:

  • Bachelor's degree in mathematics, statistics, or actuarial science
  • Insurance industry required; ASA or FSA preferred
  • Strong computing and programming skills with experience in Python (strongly preferred), Matlab, VBA, SQL, etc.
  • Strategy-minded with experience understanding risks, analyzing data, finding inefficiencies and recommending solution
  • Experience with PathWise a plus
  • Experience with big data analysis a plus       
  • Strong communication skills and an ability to manage people and/or processes
  • Positive attitude with an eagerness to learn
  • Can adjust work resources and deadlines in response to changing business priorities



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