Senior Quantitative Developer

Boston, MA, United States

Job Description:

Position Description :

Develops quantitative software applications and full-stack solutions using technical tools -- R, Python, PL/SQL databases, and Artificial Intelligence/Machine Learning (AI/ML) toolkits. Performs analytics and builds quantitative process frameworks to support investment needs and develop new solutions. Executes probability, linear regression, time series data analysis and data science models. Designs and develops new quantitative models and products for equities, fixed income, and alternative asset classes. Ensures repeatability on projects through software development standard methodologies. Collaborates with multiple partners, includes fundamental and quantitative researchers, technology partners and senior management. Develops original and creative technical solutions to support on-going development efforts.

Primary Responsibilities:

Develops original and creative technical solutions to support on-going development efforts.

Designs applications or subsystems on major projects involving multiple platforms and supports a range of divisional initiatives.

Supports and performs all phases of tests leading to implementation.

Establishes project plans for projects of moderate scope.

Performs independent and complex technical and functional analysis for multiple simultaneous projects.

Analyzes information to determine, recommend, and plan computer software specifications on major projects and proposes modifications and improvements based on user need.

Develops software system tests and validation procedures, programs, and documentation.

Education and Experience :

Bachelor’s degree (or foreign education equivalent) in Computer Science, Computational Finance, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Quantitative Developer (or closely related occupation) developing software applications and full-stack solutions for financial investments using R, Python, PL/SQL databases, or AI/ML techniques.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Computational Finance, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Quantitative Developer (or closely related occupation) developing software applications and full-stack solutions for financial investments using R, Python, PL/SQL databases, or AI/ML techniques.

Skills and Knowledge :

Candidate must also possess:

Demonstrated Expertise (“DE”) developing systems to build quantitative models for systematic financial investments using R and Python; developing time series forecasting models, multi-asset class portfolio construction strategies, risk management tools and alpha research to build investment strategies, using R, Python, MSCI Barra and Morningstar; and building automated diagnostic reporting processes for model risk management using R and Python.

DE prototyping and deploying large scale data science projects, and AI/ML models and interfaces using Spark, Tensorflow, Python data science libraries, and Deep Learning (DL) frameworks on Amazon Web Services (AWS) and On-premise computing environments; and developing investment tools and strategies using Natural Language Processing (NLP), Large Language Models (LLM), Neural Networks, and Supervised and Unsupervised Learning algorithms.

DE building data analytics life cycle for internal and vendor-based financial markets data, using Python, Autosys and PL/SQL databases; developing complex mechanisms and performance tuned PL/SQL queries to extract data from databases, APIs, and build processes (for data transformation, standardization, cleansing, and aggregation) using Python and Informatica; building algorithms for large scale data processing and investment risk calculations using distributed computing and parallel processing techniques; and building dashboards for alpha and beta performance analysis using Python Dash, R Shiny, and Tableau.

DE building highly scalable production-ready code complying with software engineering practices using Kubernetes and Docker systems; performing Continuous Integration/Continuous Deployment (CI/CD) (using Linux and Jenkins), code versioning (using Github), batch scheduling (using Autosys and Airflow), and REST APIs (using FastAPI and Flask); and creating executables using AWS Lambda, S3, and EC2.

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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 [email protected].