Data Analytics Director, Fixed Income Strategy

There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. ​ We are a premier asset manager focused on delivering global investment management excellence and retirement services that investors can rely on today and in the future. The work we do matters. We invite you to explore the opportunity to join us and grow your career with us.

The Fixed Income Strategy Director – Data Analytics resides within the Fixed Income Investments division and is a member of the Analytics & Data investment team. The individual works alongside portfolio managers, quantitative researchers and portfolio managers on the design and development of global analytics and data platforms.

Principal Responsibilities: Strategists design, create and maintain high quality analytics, data and model solutions through close partnership with quantitative research and portfolio managers. Additionally, associates in this role will consult with technology professionals to transition interim solutions to a production environment.

The Fixed Income Strategy Director – Data Analytics resides within the Fixed Income Investments division and is a member of the Analytics & Data investment team. The individual works alongside portfolio managers, quantitative researchers and portfolio managers on the design and development of global analytics and data platforms.

Principal Responsibilities: Strategists design, create and maintain high quality analytics, data and model solutions through close partnership with quantitative research and portfolio managers. Additionally, associates in this role will consult with technology professionals to transition interim solutions to a production environment.

• Architect and implement a global analytics and data platform for FI quantitative research and portfolio management

• Develop solutions that leverage existing structures to meet the needs of the research-driven investment and analysis processes

• Identify and evaluate the most appropriate method/tool/dataset to address current and future investment needs

• Implement global infrastructure to support quantitative model development and back-testing

• Identify and partner with key vendors to provide cutting-edge data and capabilities to quantitative researchers and portfolio management

• Incorporate optimal practices for applying Machine Learning techniques to quantitative

• Collaborate with quantitative research and portfolio management staff to identify data and technology solutions for investment needs

• Serve as a quantitative data and technology SME for all investment capabilities

• Maintain and support legacy quant models or processes

• Collaborate with CDO and technology professionals on data cataloging, distribution and data quality efforts

• Provide oversight for quantitative projects to operations and technology teams

Required Qualifications:

• Typically a degree in a quantitative discipline (e.g., Computer Science, Engineering, Math, Physics) and 10+ years of progressive, related experience.

• Experience working with large, complex financial datasets

• Experience in developing solutions within the data management and analytics domain, with a strong understanding of project management principles and frameworks.

• Established track record of outstanding ability to architect and implement data solutions in quantitative environments (e.g., Matlab, R, Python, Java, C#, C++, etc.)

• Thorough knowledge in fixed-income analytics, along with the ability to apply the concepts to solve practical portfolio problems.

• Experience with 3rd party data platforms and providers (e.g. Barclays Live, Bloomberg PORT, BQuant, FactSet, JPM DataQuery, Haver, Citi Velocity, etc.)

• Working knowledge of portfolio management process

• Direct experience working with fixed-income portfolios in a buy-side or sell-side capacity

• Architect and implement a global analytics and data platform for FI quantitative research and portfolio management

• Develop solutions that leverage existing structures to meet the needs of the research-driven investment and analysis processes

• Identify and evaluate the most appropriate method/tool/dataset to address current and future investment needs

• Implement global infrastructure to support quantitative model development and back-testing

• Identify and partner with key vendors to provide cutting-edge data and capabilities to quantitative researchers and portfolio management

• Incorporate optimal practices for applying Machine Learning techniques to quantitative

• Collaborate with quantitative research and portfolio management staff to identify data and technology solutions for investment needs

• Serve as a quantitative data and technology SME for all investment capabilities

• Maintain and support legacy quant models or processes

• Collaborate with CDO and technology professionals on data cataloging, distribution and data quality efforts

• Provide oversight for quantitative projects to operations and technology teams

Required Qualifications:

• Typically a degree in a quantitative discipline (e.g., Computer Science, Engineering, Math, Physics) and 10+ years of progressive, related experience.

• Experience working with large, complex financial datasets

• Experience in developing solutions within the data management and analytics domain, with a strong understanding of project management principles and frameworks.

• Established track record of outstanding ability to architect and implement data solutions in quantitative environments (e.g., Matlab, R, Python, Java, C#, C++, etc.)

• Thorough knowledge in fixed-income analytics, along with the ability to apply the concepts to solve practical portfolio problems.

• Experience with 3rd party data platforms and providers (e.g. Barclays Live, Bloomberg PORT, BQuant, FactSet, JPM DataQuery, Haver, Citi Velocity, etc.)

• Working knowledge of portfolio management process

• Direct experience working with fixed-income portfolios in a buy-side or sell-side capacity

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day remote.

Base salary ranges:

Placement within the range provided above is based on the individual’s relevant experience and skills for the role.  Base salary is only one component of our total compensation package.  Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.

Commitment to Diversity, Equity, and Inclusion:

We strive for equity, equality, and opportunity for all associates. When we embrace the power of diversity and create an environment where people can bring their authentic and best selves to work, our firm is stronger, and we create greater value for our clients. Our commitment and inclusive programming aim to lift the experience for each associate and builds allies for our global associate community. We know that a sense of belonging is key not only to your success at the firm, but also to your ability to bring your best each day.

Benefits: We invest in our people through a wide range of programs and benefits, including:

• Competitive pay and bonuses as well as a generous retirement plan and employee stock purchase plan with matching contributions
• Flexible work opportunities
• Health care benefits (medical, dental, vision)
• Tuition assistance
• Wellness programs (fitness reimbursement, Employee Assistance Program)

Our policies may change as our working lives evolve. Yet, our commitment to supporting our associates’ well-being and addressing the needs of our clients, business, and communities is unwavering.

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.