Quantitative Analyst

Job Description:

Position Description:

Implements quantitative strategies and portfolio analytics platforms, using R, Python, Git, subversion, and data science pipelines' best practices in data extraction, transformation, and computing. Designs and builds quantitative research pipelines and frameworks. Implements strategies and updates into production environments. Creates and assists in creating marketing materials. Develops systematic and active investment strategies using quantitative research techniques.

Primary Responsibilities:

• Works with portfolio managers and research teams to provide aspects of product and portfolio management support associated with existing strategies and expected growth in customized solutions.

• Conducts and streamlines quantitative research on signals and factors that predict future stock returns, using data science techniques - large dataset manipulation, Web scraping, natural language processing, and econometrics and statistical techniques.

• Develops active/quantitative equity investment strategies based on statistical and mathematical techniques.

• Conducts research on signals/factors that assist in predicting future stock returns.

• Communicates results with internal and external stakeholders.

• Mentors interns and provides guidance on projects.

• Conducts quantitative analyses of information affecting investment programs of public or private institutions.

• Informs investment decisions by analyzing financial information to forecast business, industry, or economic conditions.

• Prepares plans of action for investment using financial analyses.

• Evaluates and compares the relative quality of various securities in a given industry.

Education and Experience:

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

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise ("DE") designing, creating, analyzing, and validating quantitative equity investment strategies (alpha and risk models), using advanced statistical, mathematical, and machine learning techniques -- multivariate regression, non-parametric statistics, Bayesian statistics, time series analysis, principal component analysis (PCA), and random forests.

• DE conducting and streamlining quantitative research on signals and factors which predict future stock returns, using data science techniques including, large dataset manipulation, Webscraping, natural language processing, and econometrics and statistical techniques -- macro and micro economic reasoning, multivariate regression, and statistical machine learning.

• DE implementing quantitative strategies and portfolio analytics platforms, using R, Python, git, subversion, and data science pipelines' best practices in data extraction, transformation, and computing.

• DE utilizing economics, linear algebra, numerical analysis, and mathematical optimizations to interpret portfolio construction options and analyze impact on portfolio performance profiles --returns, risks, exposures, robustness and sensitivities.

[Expertise may be gained during graduate degree program].

#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 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).

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.