Senior Quantitative Developer

Fidelity Investments•Jersey City, NJ

1d•$97,000 - $185,000•Hybrid

About The Position

Senior Quant Developer The Role The Quantitative Research & Investing Technology (QRIT) team within Fidelity’s Asset Management Technology group is seeking a highly motivated and curious Principal Quantitative Developer. In this role you will contribute to a dynamic and fast-paced quantitative software development team supporting researchers in prototyping and delivering new systematic investment strategies. You will be ‘embedded’ within the quantitative research team and partner with quantitative analysts, researchers in the investment teams on various projects including portfolio construction, risk management, and alpha research. You will contribute to build high quality, robust, and efficient analytical software solutions that will be used to improve investment processes. This position will be based in Jersey City, NJ You will possess: A Bachelor’s degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and five (5) years of experience as a Senior Quant Developer or similar role. Alternatively, a Master’s degree (or equivalent foreign education) in the same fields, accompanied by three (3) years of experience as a Quantitative Development or similar role. This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques. Good understanding and implementation of software excellence concepts (Reliability, Extendibility, Resiliency, Flexibility, Pluggability, Intuitive Problem Solving, Risk mitigation, Technical debt, Scope, estimation, quality, CI/CD, Unit testing, Functional testing, Load testing, Parallel Processing, Resource Synchronization, Performance, Monitoring, Alerts, Logging, Tracing, Observability, Supportability etc.) The Expertise and Skills You Bring Expert in Python with experience across the development stack (full stack) Demonstrated knowledge of mathematics, statistics, and quantitative finance Exposure to object-oriented programming (OOP) and design patterns Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph Skilled in Batch and API technologies: such as batch scheduling (using Autosys and Airflow) and create REST APIs (using FAST API and Flask) leveraging AWS resources including Lambda, S3, EKS and EC2. Experience implementing CI/CD and DevOps best practices. Perform Continuous Integration (CI) and Continuous Deployment (CD) pipelines (using Linux and Jenkins), code versioning using GitHub. Reviews and ensures code format and quality satisfy the general engineering standard, and code documentations are sufficient. Analyze and design systems to implement quantitative models for systematic financial investments using R and Python. This includes developing time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms to build investment strategies. A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community Domain knowledge in either equities, fixed income or alternative asset classes Deep understanding of quantitative techniques and methods, statistics and econometrics – including probability, linear regression and time series data analysis Thoughtfully apply advanced analytics and quantitative concepts to support investment needs and develop new solutions. Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation. Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace. Progress towards CFA (or equivalent) a plus The Team The Quant Development team is part of Asset Management’s Quantitative Research & Investment Technology group. We partner with Asset Management’s Advance Strategies and Research team on cutting edge projects including systematic investment strategies, portfolio construction, risk management, alpha research, and GenAI. We build high quality, robust, and highly-scalable solutions that are used to improve Asset Management’s efficiency and decision-making processes. The base salary range for this position is $97,000-185,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Certifications: Category: Information Technology At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. 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 please contact the following: For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to [email protected], or by calling 800-835-5099, prompt 2, option 2 For roles based in Ireland: Contact [email protected] For roles based in Germany: Contact [email protected] Fidelity Privacy Policy

Requirements

A Bachelor’s degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and five (5) years of experience as a Senior Quant Developer or similar role. Alternatively, a Master’s degree (or equivalent foreign education) in the same fields, accompanied by three (3) years of experience as a Quantitative Development or similar role. This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
Good understanding and implementation of software excellence concepts (Reliability, Extendibility, Resiliency, Flexibility, Pluggability, Intuitive Problem Solving, Risk mitigation, Technical debt, Scope, estimation, quality, CI/CD, Unit testing, Functional testing, Load testing, Parallel Processing, Resource Synchronization, Performance, Monitoring, Alerts, Logging, Tracing, Observability, Supportability etc.)
Expert in Python with experience across the development stack (full stack)
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in Batch and API technologies: such as batch scheduling (using Autosys and Airflow) and create REST APIs (using FAST API and Flask) leveraging AWS resources including Lambda, S3, EKS and EC2.
Experience implementing CI/CD and DevOps best practices.
Perform Continuous Integration (CI) and Continuous Deployment (CD) pipelines (using Linux and Jenkins), code versioning using GitHub. Reviews and ensures code format and quality satisfy the general engineering standard, and code documentations are sufficient.
A creative problem solver and a curiosity fueled by keeping up with advanced methodologies and industry trends, especially in the finance community
Domain knowledge in either equities, fixed income or alternative asset classes
Deep understanding of quantitative techniques and methods, statistics and econometrics – including probability, linear regression and time series data analysis
Thoughtfully apply advanced analytics and quantitative concepts to support investment needs and develop new solutions.
Strong presentation and communication skills, with a knack for engaging with quant researchers and investment professionals

Nice To Haves

Progress towards CFA (or equivalent) a plus

Responsibilities

Analyze and design systems to implement quantitative models for systematic financial investments using R and Python. This includes developing time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms to build investment strategies.
Lead the implementation of a research project through the entire software development lifecycle using a full-stack implementation.
Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace.

Benefits

comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career

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