Senior Quantitative Developer

Primary Responsibilities:

• Develops analytical solutions.
• Develops and monitors portfolio personalization tool and efforts.
• Enables users to run customized portfolio optimizations based on personal inputs.
• Ensures all coding test cases are properly defined.
• Reviews and ensures code format and quality satisfy the general engineering standard, and code documentations are sufficient.
• Builds high quality, robust, and efficient analytical solutions to improve investment processes.
• Analyzes and interprets statistical data to identify differences in relationships among sources of in-formation.
• Evaluates technical data to determine effect on designs or plans.
• Identifies relationships and trends in data to determine effects on research results.

Education and Experience:

Bachelor's degree (or foreign education equivalent) in Quantitative and Computational Finance, Computer Science, Mathematics, Accounting, Mathematics in Finance, Actuarial Science, Statistics, or a closely related field and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing quantitative, statistical, or financial engineering models and software solutions using Python, R, and SQL.

Or, alternatively, Master's degree (or foreign education equivalent) in Quantitative and Computational Finance, Computer Science, Mathematics, Accounting, Mathematics in Finance, Actuarial Science, Statistics, or a closely related field and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing quantitative, statistical, or financial engineering models and software solutions using Python, R, and SQL.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise ("DE") developing quantitative models to predict real time trades for fixed-income products - using SQL (to retrieve and process real time trading data) and Python (to build up statistical features and train Machine Learning (ML) models); implementing complex risk metrics to measure market volatility and model performance; and constructing parallel calculation algorithms to speed up data preparation, model fitting, and prediction steps using Python.
• DE building daily batch run jobs to load, process, and store data into production databases from various internal data sources in SQL; designing database tables by establishing table columns, primary/non-primary keys, and views and stored procedures using SQL; and constructing Steps of Dependency inside a data pipeline and monitoring job run status using SQL and VisualCron.
• DE validating quantitative models by building test cases in multiple scenarios and verifying model parameters against existing documents; establishing and configuring reasonable assumptions in each testing case; and verifying model updates by running regression testing.
• DE developing and researching portfolio risk analytic metrics on fixed income products - using Python and R; and building portfolio level assumptions on a pool of assets (correlation, covariance, volatility, and industry classification of assets) using Python.

Salary: $151,575.00 - $161,575.00/year.

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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.