This role is part of the Quantitative Research and Investing group, focusing on portfolio optimization. The team is responsible for researching mathematical techniques to enhance the performance of client portfolios and funds. You will work closely with investment and technology teams to develop innovative mathematical approaches for complex optimization problems. Your work will involve delivering heuristics and reformulations to improve solver efficiency for both taxable and non-taxable portfolios.

• A Master’s degree or higher in computer science, engineering, or mathematics, with extensive coursework in optimization.
• 5+ years in portfolio optimization-focused roles, with experience using general purpose or proprietary solvers.
• Demonstrable track record delivering mathematical solutions to portfolio optimization challenges, including Integer Programming.
• Deep understanding of portfolio construction for taxable mandates and efficient heuristics for this problem class.
• Substantial exposure to mathematical techniques specific to portfolio optimization.
• Proven ability to independently take a research question from inception to a positive outcome.
• A consistent record of architecting sophisticated mathematical solutions.

• Improve numerical stability and efficiency of portfolio optimization algorithms.
• Design and validate heuristics and problem reformulations for taxable portfolios.
• Independently deliver mathematical solutions and guide the implementation team.
• Research novel algorithms to support new capabilities and client needs.
• Collaborate with team members to evolve algorithms for new client portfolios.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.