Team Lead, Investment Risk Technology

Fidelity Investments

Lead development of Investment Risk Platform for Fidelity's Asset Management. Collaborate across teams to deliver innovative risk management solutions.

Posted 5/1/2026full-timeBoston • California, Massachusetts, New Hampshire, New Jersey, Rhode Island • 🇺🇸 United StatesSenior💰 $140,000 - $285,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudJavaPythonSQLTableau

About the role

Key responsibilities & impact

lead the design, development, and implementation of the Investment Risk Platform, ensuring scalability, reliability, and alignment with business goals
drive innovation by integrating advanced analytics, factor models, and machine learning techniques into the platform
oversee and contribute towards the end-to-end lifecycle of platform development, including requirements gathering, architecture design, coding, testing, deployment, and ongoing maintenance
develop and implement robust factor models to assess portfolio risk exposures across multiple asset classes
collaborate with investment teams to identify key risk drivers and translate them into actionable metrics within the platform
ensure the platform provides accurate reporting and analytics on risk metrics such as volatility, tracking error, Value-at-Risk (VaR), stress testing results, and attribution analysis
act as a bridge between technical teams and investment teams to ensure alignment on objectives and priorities
build and mentor a high-performing team of developers and analysts dedicated to the Investment Risk Platform
collaborate with senior leadership to define long-term strategies for enhancing risk management capabilities across the organization

Requirements

What you’ll need

demonstrated experience in building investment risk platforms or similar systems within financial services organizations
strong programming skills in languages such as Python, R, or Java; familiarity with data visualization tools like Tableau or Power BI is a plus
proficiency in working with large-scale data systems (e.g., SQL databases, cloud platforms like AWS or Azure)
expertise in quantitative finance concepts including factor models (e.g., Fama-French), risk exposures (e.g., beta, alpha), portfolio optimization techniques, and statistical modeling
deep understanding of financial markets across asset classes such as equities, fixed income, derivatives, etc.
familiarity with regulatory requirements related to investment risk management
advanced degree (Master’s or PhD) in Finance, Economics, Computer Science, Data Science, or related fields is preferred
experience working with portfolio management systems such as Bloomberg PORT or BlackRock Aladdin is highly desirable
knowledge of machine learning applications in financial risk modeling is a strong plus

Benefits

Comp & perks

comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonRJavadata visualizationSQLAWSAzurefactor modelsstatistical modelingportfolio optimization

Soft Skills

leadershipcollaborationmentoringcommunicationinnovationproblem-solvingstrategic thinkingalignmentteam buildinganalytical thinking

Certifications

Master’s degreePhD