Quantitative Analyst (High Income)

Job Description:

The Group

Quantitative Research and Investing (QRI) is an investments and research division within Asset Management at Fidelity. We are responsible for the management and development of quantitative and hybrid quant/fundamental investment strategies and solutions while providing high quality quantitative, data-driven support to Fidelity's fundamental investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.

The Role

Fidelity is seeking to hire a High Income Quantitative Analyst to join its Quantitative Research and Investments division. This position will be located in Fidelity's office in Boston, MA. The analyst will develop quantitative techniques, models, and tools to support and strengthen the investment process used to manage Fidelity's client accounts. A secondary objective is to support Portfolio Managers and traders in the introduction of new products and strategies focusing on high income.

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.

This specific position is for a quantitative analyst to focus on the modeling of preferred stock, convertible bonds, and corporate credit instruments generally, and to work on investment management problems involving corporate capital structures. Knowledge of the Collateralized Loan Obligation (CLO) market and the modeling of CLOs is also a plus. We are looking for a someone with an understanding of the High Yield market and who is a strategic thinker about markets with proven quantitative modeling skills. This role is highly collaborative and, thus, the ability to work with many stakeholders (portfolio managers, traders, senior leaders and other quantitative researchers) is critical.

The Value You Deliver

• Understand, maintain, and improve infrastructure related to the investment process.
• Develop and enhance tools and reports related to security valuation and relative value.
• Build robust quantitative tools to aid all aspects of portfolio analysis and construction
• Monitor, measure, and attribute risks and returns.
• 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.

The Expertise and Skills You Bring

These attributes are indispensable:

• 5+ years of industry experience as a fixed income quantitative analyst (high income preferred)
• Very strong interpersonal skills and an eagerness to work in a team environment
• Very strong technical and financial modeling skills
• Strong working knowledge of Python and SQL
• Deep understanding of financial theory and financial markets

These attributes are preferred:

• Advanced degree in a discipline of finance, science, engineering, or mathematics (PhD preferred)
• Experience with callable bond models (option analysis), security selection, asset allocation, and risk models

Certifications:

Category:

Investment Professionals

Fidelity's working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks).