Principal Quant Developer

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

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 development team supporting researchers in prototyping and delivering new systematic investment strategies. You will provide high impact solutions on various projects including alpha research, portfolio construction, and risk management. Your technology knowledge covers a broad spectrum of technologies, including Python and PL/SQL databases, positioning you as a full-stack software engineer who capitalizes on enterprise technology. You are committed to constructing high-quality, scalable, robust, resilient and efficient analytical and software solutions that propel investment processes forward.

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 six (6) 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 four (4) years of experience as a Lead Quantitative Development or similar role.
• This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing Python, PL/SQL databases, and quantitative techniques.
  
  

The Expertise and Skills You Bring

Core Engineering

• Expert in Python with experience across the development stack (full stack)
• 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
• Working knowledge of R is a plus
  
  

Quantitative & Domain Knowledge

• Strong, demonstrable knowledge of mathematics, statistics, and quantitative finance (core to this role)
• Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
• Analyze and design systems to implement quantitative models for systematic financial investments using Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
• Domain knowledge in either equities, fixed income or alternative asset classes
• Proven track record of delivering production quant solutions in a systematic investing or trading environment
• Experience with industry-scale optimization libraries (e.g., Gurobi, CPLEX, Axioma, SciPy) and portfolio construction / optimization is a strong plus
• Progress towards CFA (or equivalent) a plus
  
  

Data & Infrastructure

• Skilled in SQL databases (Oracle); Snowflake, NoSQL, or Graph databases a plus
• Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
• Proven ability to construct and manage robust data pipelines and event-driven workflows
• Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
  
  

DevOps & CI/CD

• Experience in containerization with Docker; orchestration with Kubernetes a plus
• Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
• Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
• Familiarity with observability and production support (logging, tracing, monitoring, alerting) a plus
  
  

MLOps & AI (Preferred)

• Operationalizing ML models and pipelines on AWS using modern MLOps principles, including SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access, fine-tuning) and production lifecycle management
• Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
• Applying ML to quantitative investing: time series forecasting, anomaly detection, and predictive analytics
• Deploying and operationalizing LLM-based / agentic workflows in production (e.g., LangGraph, LangChain), including orchestration, tool use, monitoring, and evaluation
• Awareness of responsible AI governance practices
  
  

Collaboration & Communication

• Strong communication and problem-solving skills; partners effectively with quant researchers and investment teams to deliver solutions through the full development lifecycle
  
  

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.

Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

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.

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