Product Owner, Investment Risk Management - Liberty Mutual Investments

Liberty Mutual Insurance•Boston, MA

10d

About The Position

We are looking for a Product Owner who is customer centric and thinks in risk. Someone who understands how investment risk data flows from source systems into the hands of portfolio managers and CIOs, and who knows how to make that data faster, cleaner, and more actionable through modern analytics, visualizations, and enhanced user experience. You will own the product vision and delivery roadmap for LMI’s investment risk reporting and analytics capability across the total portfolio, public markets, private credit, and alternatives, working at the intersection of risk methodology, engineering, and front-end design. Your stakeholders span LMI’s four investment business units (Global Liquid Markets, Global Credit Markets, Global Alternative Markets, and Global Strategy & Capital Allocation), making allocation, hedging, and exposure decisions across a $124.7B multi-asset portfolio. The platforms you’ll work with include Aladdin, Snowflake, homegrown models, and AI-enabled tooling. Why this role is different: You are not inheriting a mature product and keeping the lights on. You are shaping a risk analytics platform from early innings, with executive sponsorship, dedicated Scrum teams, and a clear mandate to build with a cutting edge toolkit. You are empowered with direct access to AI tools like Claude and ChatGPT from the start, with expanding integrations across your data and delivery platforms. As you establish the risk foundation, the scope has an opportunity to expand. This is a role designed to grow with the right person.

Requirements

7+ years in product ownership, business analysis, or analytics roles within institutional investment management, with direct exposure to risk reporting or risk systems.
Working knowledge of investment risk measures and concepts: market risk (VaR, duration, convexity), credit risk (ratings, spreads, default probability), liquidity risk, and concentration risk.
Experience with institutional portfolio management platforms, particularly BlackRock Aladdin; familiarity with Snowflake, homegrown risk models, and AI-enabled analytics tooling is a strong plus.
Demonstrated ability to deliver dashboard and analytics products from concept through adoption, with a portfolio of shipped features or platforms you can walk us through.
Intermediate-to-advanced SQL skills for data analysis, investigation, and ad-hoc reporting across large, complex datasets.
Strong agile delivery skills: you have led Scrum teams, managed backlogs with rigor, and can point to measurable improvements in delivery outcomes.
Exceptional communication skills. You can translate between risk professionals, engineers, and executives without losing fidelity.

Nice To Haves

Bachelor’s degree in Finance, Economics, Mathematics, Computer Science, or a quantitative field; MBA, CFA, or FRM is a plus.
Experience with total portfolio risk reporting spanning public markets (fixed income, equities) and private markets (private credit, alternatives, real assets).
Familiarity with AI/ML applications in investment analytics. A practical understanding of how models can enhance risk detection, anomaly identification, reporting automation, product ownership workflow.
CSPO, SAFe, or equivalent agile certification.
Entrepreneurial mindset: you see whitespace and design.

Responsibilities

Define and drive the product roadmap for investment risk reporting and analytics across LMI’s total portfolio, translating risk framework requirements into prioritized, deliverable features.
Own the end-to-end product lifecycle: discovery, requirements, backlog management, delivery, and iteration based on stakeholder feedback and KPIs.
Partner with risk methodology leads, portfolio managers, and the CIO office to ensure the platform surfaces the right risk measures (VaR, tracking error, duration, credit exposure, concentration, stress/scenario analysis) with the right visualization at the right cadence.
Drive root-cause analysis and remediation for data quality issues across risk reporting surfaces, partnering with source system owners (Aladdin, Snowflake, homegrown models), data engineering, and software engineering.
Build on LMI’s OnePortfolio data foundation, a single source of truth across asset classes, mandates, and risk systems, to establish data analysis frameworks and quality gates that ensure reporting accuracy before it reaches investment decision-makers.
Collaborate with data governance and operations teams to trace, document, and resolve lineage issues from source to dashboard.
Lead 1–2 dedicated Scrum teams through sprint planning, backlog refinement, retrospectives, and reviews.
Design, own, and build full-stack applications in collaboration with Scrum teams to enable investment risk management, from data ingestion through interactive front-end reporting.
Own solutions within relevant vendor platforms (e.g., Aladdin), including configuration, integration, and feature adoption aligned to the risk roadmap.
Collaborate with UX/UI designers to build user-centered, accessible risk reporting interfaces.
Serve as the primary voice of the investment risk stakeholder community, translating portfolio manager and risk analyst needs into product priorities.
Lead cross-functional working groups spanning investment teams, operations, technology, and external vendors to align on requirements and delivery cadence.
Communicate product progress, trade-offs, and roadmap decisions to senior leadership within Global Investment Solutions.