Associate, Risk Management - Liberty Mutual Investments

Liberty Mutual•Boston, MA

12h•Onsite

About The Position

As a member of the Risk Management Team, the Associate as a Financial Quantitative Engineer will assist with risk analysis, monitoring, and framework development across Liberty Mutual Investments with a focus in Analytics. This individual will help develop and/or automate new analytics and existing processes. In addition to wide-ranging contributions to risk management and monitoring, this Risk Management professional will help to elevate the firm's risk culture of constructive inquiry and advocate for the broader risk framework, which forms an integral part of LMI's investment process.

Requirements

A degree in Computational Finance, Economics, or technical field and 3-5 years of relevant work experience is required.
A strong quantitative background, including statistics, computational or numerical simulation methods, and econometrics
Programming experience in dynamically typed languages, including Python, Excel VBA, SQL
Demonstrated capability to drive projects to successful completion through cross-functional collaboration
Must be a self-starter with ambition and intellectual curiosity, as well as exceptional problem-solving skills, strategic thinking
Knowledge of various types of investments and their characteristics, including equities, fixed income investments, real estate/real assets and alternative investments
Ability to work independently as well as thrive in a team environment
A passion for risk management and a desire to learn about the field
Strong communication/interpersonal skills, and the ability to interact with a variety of investments and support professionals

Nice To Haves

A graduate degree would be a plus.
Familiarity with generative AI models
Familiarity with Bloomberg, Aladdin and other standard financial databases and tools preferred

Responsibilities

Overseeing and advancing LMI's risk management framework
Develop and/or enhance risk models and the risk framework to effectively manage risks and to improve risk management capabilities. This will involve data analysis and applying statistical and econometric theories.
Prepare monthly and quarterly portfolio risk review material, as well as providing ad hoc portfolio and risk analysis as necessary.
Monitoring global market developments and identifying major risks to our portfolio
Relating market conditions, industry and regulatory developments to investment execution