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Job Description:
The Group
Fidelity’s Fixed Income Division is one of the world’s leading fixed income managers with over $2 trillion in fixed income assets managed by a staff of more than 200 investment professionals. At Fidelity, we combine fundamental research on debt issuers with macroeconomic and quantitative analysis to develop investment decisions that aim to maximize risk-adjusted total return for our clients. The Fixed Income Division is headquartered in Merrimack, New Hampshire.
The Role
We are seeking a talented and motivated individual to join our Fixed Income Research team as a Research Data Specialist with a particular focus on corporate bonds and credit research. This is a unique opportunity to contribute to a dynamic team supporting investment decision-making across Fidelity’s fixed income platform.
Research Data Specialists work closely with analysts and other members of the investment team to support various aspects of the research process, including:
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Organizing and analyzing large datasets
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Leveraging programming tools and AI to enhance research efficiency
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Creating and maintaining reports and presentations used in investment decision making
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Working with technology partners on internal applications and research priorities
Depending on team needs and candidate strengths, responsibilities may include assisting with data and information requests from research analysts on companies and industries under coverage, working with database architectures to organize and present information used in the investment process, utilizing various programming languages to develop tools for the research team and the analysis of index performance attribution used in research analytics.
Research Data Specialists will contribute to research outputs and investment recommendations made by research analysts which are used by portfolio managers across the division and the broader Fidelity organization.
The Expertise and Skills You Bring
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Bachelor’s degree in Business, Finance, Information Technology or a related field
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2+ years of relevant experience preferred
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AI/LLM tool proficiency
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Proficiency in SQL/Oracle and Python
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Advanced Excel and programming skills (preferred)
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Strong analytical skills and attention to detail
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Excellent communication and time management abilities
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Demonstrated work ethic and intellectual curiosity
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Ability to work independently and collaboratively
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Interest in investing and capital markets
Note: Fidelity will not provide immigration sponsorship for this position.
Certifications:
Category:
Investment Professionals
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Some roles may have unique onsite requirements. Please consult with your recruiter for the specific expectations for this position.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
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About Fidelity

Fidelity
BootstrappedFidelity Land Development specializes in land acquisition, development, management, maintenance and leasing services.
1-50
Employees
Chatham
Headquarters
Reviews
3.5
4 reviews
Work Life Balance
2.0
Compensation
2.5
Culture
1.8
Career
2.5
Management
1.5
15%
Recommend to a Friend
Pros
Benefits continuation during leave
Structured career path
Certification support
Cons
Poor management practices
Inadequate communication
Heavy micromanagement
Salary Ranges
40 data points
Mid/L4
Mid/L4 · Business Analyst
1 reports
$106,987
total / year
Base
$93,032
Stock
-
Bonus
-
$106,987
$106,987
Interview Experience
6 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 67%
Negative 33%
Interview Process
1
Phone Interview
2
Video Interview
3
Offer
4
Background Check
5
Fingerprinting
6
Drug Test
Common Questions
Customer service scenarios
Financial services knowledge
Behavioral questions
Technical cybersecurity concepts
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