Principal Quant Developer at Fidelity Asset Management Technology partnering with research and investments teams for portfolio optimization systems. Hands-on role collaborating with software engineers and quantitative developers.
Responsibilities
Partner with the quant research and investments teams to design, build, enhance, and support a comprehensive portfolio optimization & back testing ecosystem.
Hands on development collaborating with team of software engineers and quantitative developers
Requirements
Minimum of 7 years of proven professional experience working in financial services (Asset Management experienced preferred)
Prior experience leveraging industry scale optimization libraries (Matlab Linear, Gurobi, Cplex, Axioma, Gurobi, or SciPy)
Experience with Python and micro-services / RESTful APIs
Proven ability to design highly scalable and low latency systems
Experience working on AWS cloud environment and working knowledge of CI/CD & DevOps
Strong experience in system architecture, design patterns and software engineering fundamentals such as OOP, functional programming, data modeling.
Advanced understanding of data structures
Demonstrated experience with portfolio construction and/or portfolio optimization is a plus
Proven ability to capture requirements and formulate plans by partnering with various stakeholders
Strong communication, interpersonal and relationship building skills to influence decisions and engage across Fidelity and at all levels of the organization
Bachelor’s degree in a computational field such as Computer Science, Master’s degree is preferred
Benefits
comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
Principal Quant Developer developing systematic fixed income portfolio ecosystems for Fidelity Asset Management Technology. Collaborating with quant research and investments teams for system design and support.
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