The Group
Quantitative Research & Investments (QRI) is an investments and research division within Asset Management at Fidelity. We are responsible for the management and development of quantitative and hybrid quant/fundamental investment strategies and solutions while providing high quality quantitative data-driven support to Fidelitys investment professionals ensuring they have access to the most relevant data and advanced quantitative analysis.
The Role
Join the Systematic Fixed Income Strategies group within Fidelitys QRI team. Were looking for a curious high-energy researcher who loves turning data into investable insightsand who writes clean efficient this role you will design test and deliver active systematic strategies across global fixed income markets partnering closely with Portfolio Management from idea generation through production execution.
The Value You Deliver
Research and develop systematic strategies across global fixed income spanning asset allocation timing and security selection.
Build robust research pipelines and backtests: define hypotheses run backtests evaluate signal efficacy/decay and assess performance robustness and risk.
Productionize research: transform prototypes into reliable well tested code; design and maintain data pipelines; and ensure strategies are modeled and executed optimally.
Collaborate with researchers portfolio managers and product partners across the full investment processfrom idea generation to implementation and post trade review.
Discover evaluate and integrate alternative and new datasets; engineer features from large complex data (structured and unstructured).
Drive implementation and execution research portfolio construction transaction cost modeling PM dashboards and attribution.
The Skills & Experience You Bring
Advanced degree in Engineering Physics Mathematics Economics Finance Computer Science or another quantitative discipline.
3 years of relevant experience in systematic investing or a comparable quantitative research role.
Demonstrated experience researching with large complex datasets and translating research into production ready tools.
Exceptional Python coding skills with fluency in the scientific Python stack version control (Git) and unit/integration testing.
Familiarity with relational databases.
Very strong interpersonal and verbal communication skills; team oriented with a bias for action and ownership.
Preferred Qualifications
Understanding of fixed income markets including drivers of return risk management and portfolio construction techniques.
Experience with portfolio optimization risk models and execution research.
Experience with Bloomberg.
Exposure to cloud and distributed compute (e.g. AWS Spark) workflow orchestration and CI/CD.
Placement in the range will vary based on job responsibilities and scope geographic location candidates 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 other variable compensation.
Most roles at Fidelity are Hybrid requiring associates to work onsite every other week (all business days M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.
Please be advised that Fidelitys business is governed by the provisions of the Securities Exchange Act of 1934 the Investment Advisers Act of 1940 the Investment Company Act of 1940 ERISA numerous state laws governing securities investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations including FINRA among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Required Experience:
IC
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