Position Description: 

Improves portfolio management by using programming tools -- Fame, Perl, Python, Unix/Linux to gather, process, and analyze data. Applies mathematical and statistical skills and programming languages to craft and develop solutions and products. Utilizes programming languages including R, Java, SQL and Linux, as well as full-stack development knowledge to support the hands-on development of analytical solutions. Designs applications and subsystems on major projects and for/in multiple platforms utilizing Python, C, C++, C#, and Java. Investigates large structured as well as novel data sources to generate alpha using MATLAB and R. Develops core analytical capabilities or model libraries, performing advanced statistical, quantitative, or econometric techniques using SAS. 

Primary Responsibilities: 

Quantifies investment decisions through sophisticated calculations; using models such as Brinson Factor model, to decompose returns into asset allocation, interaction, and security selection. 

Uses quantitative techniques and methods, statistics, and econometrics, including probability, linear regression, and time series data analysis to monitor marketplace trends and create accurate projections. 

Develops or applies mathematical or statistical theory and methods to collect, organize, interpret, and summarizes numerical data to provide usable information. 

Analyzes and interprets statistical data to identify significant differences in relationships among sources of information. 

Analyzes sequences of data points collected over time using time series data analysis. 

Collaborates with business and quantitative analysts to maintain and extend complex calculation engines to measure investment portfolio performance, risk, and attribution. 

Partners with investment teams on various projects including portfolio construction, risk management, and alpha research. 

Designs optimal solutions for computing equity and fixed income security level analytics. 

Formulating attribution models and analytics to meet the needs of investment management teams. 

Develops quantitative techniques to inform securities investing, equities investing, pricing, or valuation of financial instruments. 

Creates mathematical or statistical models for risk management, asset optimization, pricing, or relative value analysis. 

Uses quantitative skills/technical skills to provide performance attribution for customers. 

Provides suggestions to improve portfolio management. 

Supports issues with production reports, identify causes of report inaccuracies. 

Education and Experience: 

Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, Computational Finance, or a closely related field and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing performance, attribution characteristics, and risk measurement applications using Perl, Python, FAME, Linux, Oracle, and SQL in a financial services environment.  

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, Computational Finance, or a closely related field and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing performance, attribution characteristics, and risk measurement applications using Perl, Python, FAME, Linux, Oracle, and SQL in a financial services environment. 

Skills and Knowledge: 

Candidate must also possess: 

Demonstrated Expertise (“DE”) developing with Performance Attribution analysis calculation models -- Brinson Hood Beehover, Brinson Fachler, and Multi Asset Class and implementing the quantitative analysis into programs by using complex datasets with programming languages and tools -- Perl, Python, and FAME. 

DE developing end-to-end application systems -- building front end graphical user interface to write the backend business and math logic that generates the core logic using programming languages -- Python, Perl, Fame, SQL, JavaScript, HTML, and Linux. 

DE developing investment analysis prototypes and modeling that explain the performance of the investment products compared to their benchmarks using Perl, Python, and FAME. 

#PE1M2 

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. Having the majority of our associates work onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most roles listed as Hybrid will require associates to work onsite all business days of every other week in a Fidelity office. This does not apply to roles listed as Remote or Onsite.

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.