Quantitative Risk Developer

Fidelity Investments

. Design, develop, and implement core risk capabilities for Fidelity’s risk management platform .

Posted 11/2/2026full-timeUnited StatesMid-LevelSenior💰 $100,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python programming, particularly with NumPy and SciPy, to develop and implement advanced risk management capabilities. Strong ability to collaborate with quantitative teams and integrate analytical tools within existing systems while ensuring optimal performance and scalability.

Highest-signal resume keywords

Expert Python ProgrammingQuantitative Risk ModelingPerformance Attribution AnalysisGit ProficiencyAI/ML Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonNumPySciPyQuantitative ModelsPerformance AttributionStress TestingScenario AnalysisSoftware Development Best PracticesTime Series Data Anomaly DetectionInteractive Python GUIs

Soft Skills

Strong Communication Skills

Tools & Technologies

GitGitHub CopilotDashStreamlit

Industry Keywords

Risk ManagementPortfolio ConstructionQuant DeveloperInvestment FirmAnalytical Tools

Tech Stack

Tools & technologies

NumpyPython

About the role

Key responsibilities & impact

Design, develop, and implement core risk capabilities for Fidelity’s risk management platform
Build multi-asset class ex-ante risk modeling capabilities
Develop performance attribution analysis functionality
Develop stress testing and scenario analysis capabilities
Collaborate with quantitative risk managers to build analytical tools and software libraries
Apply software development best practices to optimize runtime performance, scalability, and platform robustness
Partner with technologists to integrate the quantitative codebase with existing systems, data infrastructure, and production environments
Work closely with quantitative researchers to write core portfolio analytics libraries
Engage with investment professionals across Fidelity Asset Management to understand evolving needs and ensure the risk platform meets business requirements

Requirements

What you’ll need

Master’s degree with an outstanding academic record in a technical field such as science, engineering, or mathematics, with 5+ years of experience as a quant developer for an investment firm
Bachelor’s degree with 7+ years of relevant experience may be considered
Expert Python programming skills, including NumPy and SciPy
Experience implementing quantitative models and applications for risk management or portfolio construction highly preferred
Strong Git proficiency and understanding of software version control
Knowledge of testing methodologies, code reviews, documentation, and software development best practices
Understanding of AI/ML fundamentals
Familiarity with tools such as GitHub Copilot
Experience applying AI techniques for time series data anomaly detection
Preferred practical experience building interactive Python GUIs such as Dash or Streamlit
Strong communication skills for conveying complex technical information to technical and non-technical audiences
Fidelity will not provide immigration sponsorship for this position
Criminal history restrictions may apply under applicable laws and regulations

Benefits

Comp & perks

Comprehensive health care coverage
Emotional well-being support
Market-leading retirement benefits
Generous paid time off
Parental leave
Charitable giving employee match program
Educational assistance, including student loan repayment
Tuition reimbursement
Learning resources to develop your career
Bonus or other variable compensation may be included depending on position and eligibility