Senior Quantitative Developer

Position 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: 

• Develops original and creative technical solutions to support on-going development efforts. 

• Designs applications or subsystems on major projects involving multiple platforms and supporting a range of divisional initiatives. 

• Supports and performs all phases of testing leading to implementation. 

• Establishes project plans for projects of moderate scope. 

• Performs independent and complex technical and functional analysis for multiple simultaneous projects. 

• Analyzes information to determine, recommend, and plans computer software specifications on major projects and proposes modifications and improvements based on user need. 

• Develops software system testing and validation procedures, programming, and documentation. 

• Learns all the software’s and platforms used by the quantitative development team, understands and then contributes codes up to the enterprise standard to the firm’s technology ecosystem. 

• Coordinates with advanced analytics and central risk pod to set project plans and share knowledge/codes.  

• Communicates often with manager, team and other stakeholders on progress, bottlenecks and deliverables. 

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. 

Skills and Knowledge: 

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. 

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