Job Description:

　　Position Description:

　　Develops customized quantitative tools using programming tools (Python or R). Provides modeling, analytical solutions, and data management services to quantitative researchers, portfolio managers, and senior management. Reports capabilities, multi-factor model risk forecasting, quantitative alpha research, big data analytics, and performance attribution. Contributes to the continued development and incorporation of non-traditional and/or unstructured data and data science applications to enhance the research and investment process. Delivers innovative data visualization and analytical tools capable of illustrating current and time series investment themes, portfolio exposures, and factors driving fund performance.

　　Primary Responsibilities:

　　Oversees daily, weekly, and monthly production reporting cycles across the analytic environments.Responds to ad-hoc data analysis requests in support of projects.Participates in all aspects of portfolio risk including model construction, factor and covariance definitions, and factor calculations.Translates output statistics into meaningful information used within the portfolio management function. Ensures that all required input data is available, statistical output is accurate, and reports are generated properly.Expands and enhances technical infrastructure.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:

　　Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Finance, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) modeling asset allocation for investment portfolios using large datasets, programming languages (Python and R or VBA and Matlab), and technological platforms (Bloomberg) in a financial services environment.

　　Or, alternatively, Master's degree (or foreign education equivalent) in Computer Science, Engineering, Finance, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) modeling asset allocation for investment portfolios using large datasets, programming languages (Python and R or VBA and Matlab), and technological platforms (Bloomberg) in a financial services environment.

　　Skills and Knowledge:

　　Candidate must also possess:

　　Demonstrated Expertise ("DE") developing metrics and visualizations (for quantitative analysts to analyze asset allocation models results) using R, Python and SQL/Oracle Database or Excel and VBA in investment management industry; and implementing complex portfolio return and risk calculations on investment portfolios using stress testing.DE building quantitative models - regression and time series (in Python and R or Excel, VBA, and Matlab) - to enhance investment decision-making, using macroeconomic and market-movement time-series data for modeling, in a production environment.DE analyzing large financial datasets and security/trade level information (in Python and SQL/Oracle Database or Excel, VBA, and Matlab) to develop new processes, perform calculations, identify anomalies, and produce new reporting capabilities.DE delivering recommendations and communicating complex quantitative findings by developing written and oral presentations.

　　#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 Best Place to Work in 2023. 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.

　　At Fidelity, our goal is for most people to work flexibly in a way that balances both personal and business needs with time onsite and offsite through what we're calling "Dynamic Working". Most associates will have a hybrid schedule with a requirement to work onsite at a Fidelity work location for at least one week, 5 consecutive days, every four weeks. These requirements are subject to change.

　　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, or by calling 800-835-5099, prompt 2, option 3.

　　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 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.