AM Quantitative Analyst I

Job Description:

Position Description:

Performs quantitative investment research and data analytics utilizing programming languages such as Python, R, and SQL within the Asset Management division. Conducts sophisticated financial modeling using financial packages and portfolio management tools -- FactSet and Bloomberg. Provides research to fund managers through portfolio analyses or empirical studies on new factors and datasets. Builds robust research code and production code in Python, R, and MATLAB. Writes SQL queries to obtain data and create tables, using Snowflake and Oracle database.

Primary Responsibilities:

• Leverages financial expertise and research methodologies to support investment needs.
• Conducts quantitative analyses of information involving investment programs or financial data of public or private institutions, including valuation of businesses.
• Explores internal data and alternative data to use for quant models or products.
• Improves the quality and time-to-market of research initiatives using analytical and computational finance development methodologies.
• Leads the implementation of quantitatively based equity alpha generation, portfolio construction, and risk management analytics.
• Creates quantitative factors and models to facilitate research and portfolio construction processes.
• Responds to ad-hoc data analysis requests.
• Analyzes large data sets in order to develop new processes, perform calculations, identify anomalies, and/or produce new reporting capabilities.
• Liaises with investment professionals to gather requirements and manage deliverables of technical development teams.

Education and Experience:

Master's degree (or foreign education equivalent) in Financial Engineering, Engineering, Accounting, Economics, Finance, Statistics, Mathematics, or a closely related field and no experience.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise ("DE") building quantitative models -- regression, cross-sectional, and time series in Python and R, using third party vendor data and dynamic parameters -- to make recommendations for alpha generation and portfolio construction and to enhance investment decision-making.
• DE analyzing alternative data to predict company fundamental metrics, develop alpha signals, and build portfolio strategies; and curating large data sets using programming languages and financial software.
• DE applying multi-factor models for investment research, and implementing predictive analytics and Machine Learning (ML) algorithms (Reinforcement Learning) to develop and backtest trading signals.
• DE developing written and oral presentations to deliver recommendations during research meetings, communicating complex quantitative findings, and presenting feedback on methodology; and describing and documenting edge cases.

#PE1M2

Certifications:

Company Overview

Fidelity Investments is a privately held company with a mission to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients' money.

Join Us

At Fidelity, you'll find endless opportunities to build a meaningful career that positively impacts peoples' lives, including yours. You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home. Honored with a Glassdoor Employees' Choice Award, we have been recognized by our employees as a top 10 Best Place to Work in 2024. And you don't need a finance background to succeed at Fidelity-we offer a range of opportunities for learning so you can build the career you've always imagined.

Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite all business days of every other week in a Fidelity office.

At Fidelity, we value honesty, integrity, and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation, detailed in this document, and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal, civil litigations and regulatory review, employment, education, and credit review (role dependent). These investigations will account for 7 years or more of history, depending on the role. Where permitted by federal or state law, Fidelity will also conduct a pre-employment drug screen, which will review for the following substances: Amphetamines, THC (marijuana), cocaine, opiates, phencyclidine.

We invite you to Find Your Fidelity at fidelitycareers.com.

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, contact the HR Accommodation Team by sending an email to accommodations@fmr.com.

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