Principal Quant Developer

Fidelity InvestmentsBoston, MA

About The Position

The Principal Quantitative Developer is a core software engineering role in our dynamic, fast-paced quantitative development team. You will be ‘embedded’ within the quantitative research team, and you will be partner with the investment teams on various projects including portfolio construction, risk management, and alpha research. You will contribute to building high quality, robust, and efficient analytical software solutions that will be used to improve investment processes. You and tour team will be responsible for developing, running, and supporting various Quantitative Tools in cloud environment and communicate the same with customers. Lead/Own the implementation of a research project through the entire software development lifecycle applying a full-stack implementation. Intuitively apply advanced analytics and quantitative concepts to support investment needs and develop new solutions. Add scale, reliability, and repeatability to research through software development standard methodologies. Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace. Thoughtfully apply sophisticated analytics and quantitative concepts to support investment needs and develop new solutions. Adaptive and effective team player with strong collaboration.

Requirements

  • Bachelor's degree (or above) in a quantitative or computational field such as Statistics, Computer Science or Applied Mathematics
  • 8 years of experience in complex software development and working with investment professionals
  • Deep understanding and implementation of software excellence concepts (Reliability, Extendibility, Resiliency, Flexibility, Pluggability, Intuitive Problem Solving, Risk mitigation, Tech debt, Scope, Estimation, Quality, CI/CD, Unit testing, Functional testing, Load testing, Parallel Processing, Resource Synchronization, Performance, Monitoring, Alerts, Logging, Tracing, Observability, Supportability etc.)
  • Advanced Experience in Analytical/Software Engineering skills including Python, Java, SQL and Linux.
  • Sophisticated understanding of quantitative techniques and methods, statistics, and econometrics – including probability, linear regression, and time series data analysis
  • Consistent track record in hands-on ‘development ownership’ of complex software solutions.
  • Ability to effectively connect with multiple partners, including fundamental and quantitative researchers, divisional partners and senior management
  • Thrive in working with fast-paced competing requirements and effectively delivering business needs

Nice To Haves

  • Substantial Experience with AWS cloud environment development and deployment is a plus.
  • Good experience in either equities, fixed income, or alternative asset classes

Responsibilities

  • Lead/Own the implementation of a research project through the entire software development lifecycle applying a full-stack implementation.
  • Intuitively apply advanced analytics and quantitative concepts to support investment needs and develop new solutions.
  • Add scale, reliability, and repeatability to research through software development standard methodologies.
  • Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace.
  • Thoughtfully apply sophisticated analytics and quantitative concepts to support investment needs and develop new solutions.
  • Develop, run, and support various Quantitative Tools in a cloud environment and communicate the same with customers.

Benefits

  • Comprehensive health care coverage
  • Emotional well-being support
  • Market-leading retirement
  • Generous paid time off
  • Parental leave
  • Charitable giving employee match program
  • Educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.
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