Quantitative Risk Developer at Fidelity Investments in Boston, MA

Job description

Fidelity will not provide immigration sponsorship for this position. Job Description: The Role Quantitative Research and Investments (QRI) is seeking a highly motivated and experienced Quantitative Risk Developer to join our team in building Fidelity's next-generation portfolio analytics platform. The portfolio analytics platform is leveraged across Fidelity by investment professionals for risk management, portfolio construction, and alpha research. This is a unique opportunity to make a significant impact on how Fidelity manages risk and constructs portfolios across asset classes. The next-generation portfolio analytics platform is a greenfield project in which Fidelity is making a significant investment over multiple years. The successful candidate will work closely alongside quantitative researchers in writing the core portfolio analytics libraries and with technologists to deploy them in the production risk environment. The Value You Deliver Design, develop, and implement core risk capabilities for Fidelity’s risk management platform, focusing on: Multi-asset class ex-ante risk modeling Performance attribution analysis Stress testing and scenario analysis Collaborate with quantitative risk managers to build cutting-edge tools and software libraries, advancing our analytical capabilities Apply software development best practices to optimize run-time performance, scalability, and robustness of the platform Partner with technologists to ensure seamless integration of quant codebase with existing systems, data infrastructure, and production environments Engage with investment professionals across Fidelity Asset Management to understand their evolving needs and ensure the risk platform meets their business requirements Education and Experience 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. The Skills You Bring Expert Python programming skills with a strong emphasis on libraries used in quantitative finance, including NumPy and SciPy Experience implementing quantitative models and applications for risk management or portfolio construction highly preferred Good understanding of software version control with strong Git proficiency, testing methodologies, code reviews, documentation, and other best practices Understanding of AI/ML fundamentals; familiarity with tools like GitHub Copilot; experience applying AI techniques for time series data anomaly detection Preferred practical experience building interactive Python GUIs (e.g., Dash, Streamlit) Strong communication skills with the ability to effectively convey complex technical information to both technical and non-technical audiences The Group QRI is an investments and research division within Asset Management at Fidelity. QRI is responsible for managing and developing quantitative and hybrid quant/fundamental investment strategies and solutions while also providing high quality quantitative, data-driven research to Fidelity’s investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis. Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $100,000 - $200,000 per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or o