The Role

Fidelity’s Asset Management Technology Division is seeking a Principal Quant Developer to join their Embedded Quant Development Team supporting High Yield Asset class. This is a core software engineering role in our dynamic and fast-paced quantitative development team. You will be ‘embedded’ within the quantitative research team and you will partner with the investment teams on various projects including portfolio construction, risk management, and alpha research. You will build high quality, robust, and efficient analytical solutions that will be used to improve High Income investment processes. This role impacts the organization by improving the quality and time-to-market of Research initiatives through a combination of both analytical and software development skillsets. The assignments will include gathering the ideas, conceptualizing them through a programming language, and creating a packaged solution that can be used by the investment professionals.

Additional Locations: Jersey City, NJ; Boston, MA

The Expertise and Skills You Bring

• Bachelor’s (Masters preferred) in a quantitative or computational field such as Computer Science, Applied Mathematics, Statistics, Engineering
• Over 10 years professional experience in a quantitative/computational environment
• Full-stack software development knowledge and critical thinking skills to design optimal solutions for computing High / Fixed income security level analytics
• Strong software engineering skills, including C++, Python, shell scripting, SQL, and Linux preferably in a command line environment
• Ability to communicate effectively with multiple stakeholders, including fundamental and quantitative researchers and technology partners

The Team

Quantitative Development team is part of Asset Management’s Quantitative Research & Investment Technology group that partners with the Fixed Income investment teams on various projects including portfolio construction, risk management, and alpha research. We build high quality, robust, and efficient high-responsive solutions that are used to improve efficiency and decision-making processes.