Job Description:
Develops software applications and full-stack solutions using tools such as R, Java, SQL, and Linux. Writes functional Python or SQL. Applies sophisticated analytics and quantitative concepts to support investment needs and develop new solutions within Fidelity's Quantitative Development Team. Performs analytics and building quantitative process frameworks to support investment needs and develop new solutions. Executes probability, linear regression, and time series data analysis. Designs and develops new quantitative models and products for equities, fixed income, and alternative asset classes. Ensures repeatability on projects through software development standard methodologies. Collaborates with multiple partners, including fundamental and quantitative researchers, technology partners and senior management.
Primary Responsibilities:
Education and Experience:
Bachelor’s degree (or foreign education equivalent) in Quantitative and Computational Finance, Financial Mathematics, Computer Science, Mathematics, Engineering, Statistics, or a closely related field and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing software solutions (risk management, portfolio construction, performance analysis, or alpha research) using Python, Python data libraries, or Relevel concepts in a financial services environment.
Or, alternatively, Master’s degree (or foreign education equivalent) in Quantitative and Computational Finance, Financial Mathematics, Computer Science, Mathematics, Engineering, Statistics, or a closely related field and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing software solutions (risk management, portfolio construction, performance analysis, or alpha research) using Python, Python data libraries, or Relevel concepts in a financial services environment.
Candidate must also possess:
Demonstrated Expertise (“DE”) supporting portfolio managers, trading desks, performance and risk analysts by developing quantitative software using Python, Pandas, NumPy, Git, or SQL.
DE utilizing data from financial data vendors (Bloomberg, Axioma, FactSet, and Barra) in financial calculations, and accessing database tables using SQL queries.
DE applying financial concepts (risk attribution, risk decomposition, or risk aggregation) when developing applications, subsystems, services, or scripts to support and enhance portfolio risk analytics.
DE utilizing quantitative concepts applicable to several distinct financial instruments (bonds, stocks, swaps, or options) in supporting quantitative software.
Salary:$152,000.00 - $162,000.00 /year.
Certifications:
Category:
Information Technology
Fidelity’s hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.
