Fidelity TalentSource is your destination for discovering your next temporary role at Fidelity Investments. We are currently sourcing for a Quantitative Analyst to work in Fidelity’s Advanced Technologies for Investment Management Group in Boston, MA, Jersey City NJ, or Merrimack NH.
Role
Fidelity is looking for an upbeat and innovative candidate who brings investment, quantitative, and data science skills for research and development of AI/ML methods to advise investment decision support solutions. The candidate must be curious, creative, and agile in learning and applying investment concepts.The Team
Fidelity Enterprise Services’ Advanced Technologies for Investment Management (ATIM) team provides support to the vitality and growth of the organization by transforming breakthrough technologies into practical capabilities for Fidelity’s internal and external investment clients! The Team promotes company-wide collaboration while delivering Artificial Intelligence enabled portfolio level perspectives to investment managers and client service colleagues.The Expertise We’re Looking For
- Graduate degree or equivalent experience in mathematical finance, computational financial engineering or related fields
- Strong client engagement skills with portfolio managers, financial advisors and/or brokerage platform product managers
- Strong business communications skills for creating and delivering compelling presentations
- 4+ years of academic training/work experience on asset pricing models for equities, Munis, convertibles, options, and other derivatives
- Proven success with development of portfolio risk analysis and portfolio optimization algorithms
- Proficiency with advanced SQL, Python, and Bloomberg s, creative, and agile in learning and applying investment concepts.
The Skills You Bring
- Passion for the financial markets, products, and processes (including: Equity Related Instruments/Analytics, Asset Pricing Models/Instruments and Multi-Factor Risk Models)
- Have professional knowledge with statistical models, predictive models and time series analysis (such as regression, classification, simulation, dimension reduction)
- Have a validated mathematical background of solving common optimization problems (including: linear/nonlinear/integer programming)
- Proven hands-on experience in developing and evaluating machine learning models on large scale datasets
- Meticulous attention to detail and unquestioned integrity
- You are a fast learner and a good teammate
The Value You Deliver
- Advancing the research and development of AI/ML methods for innovative and differentiated investment management digital solutions
- Crafting custom solutions to help clients evaluate and achieve investment objectives
- Effective interaction across Fidelity’s technology, investment management, and client servicing teams