Fixed Income Quantitative Analyst

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

Fidelity is seeking to hire a Quantitative Analyst to join its Quantitative Research and Investments division. This position will be located in Fidelity's office in Merrimack, New Hampshire. The analyst will work with traders and portfolio managers on the money market team to develop quantitative techniques, models, and tools to support and strengthen the investment process.

This is a rare opportunity to work with high caliber investment professionals in one of the premier fixed income investment management divisions in the world. As an ideal candidate, you will have demonstrated consistent success in your academic and work experience. You will have very strong analytical and communication skills and exhibit the highest level of personal and professional integrity. You'll be able to think creatively, work independently, and make decisions quickly, often with limited information. Your ability to consistently develop, clearly articulate, and effectively communicate investment recommendations supported by a comprehensive and thoughtful research process is critical to success in investment management at Fidelity.

The Value You Deliver

• Understand, maintain, and improve analytic infrastructure related to the investment process
• Collaborate closely with other investment and technology professionals within the division
• Explain complex quantitative concepts to non-technical people
• Take initiative and demonstrate leadership skills to advance the investment process

• 3+ years of industry experience as a quantitative analyst
• Strong working knowledge of Python, SQL
• Very strong interpersonal and verbal communication skills and an eagerness to work in a team environment
• Deep comfort with applied mathematics and statistics
• Demonstrated expertise in technical and financial problem solving
• Familiarity with fixed income analytics

• Good working knowledge of relational databases, Snowflake and Oracle
• Advanced degree in a discipline of science, technology, engineering, or mathematics
• Interest and passion for investing and the financial markets
• Familiarity with fixed income trading workflows, data, pricing and market engagement models