4 days ago
Boston, MA, USAStaff+
Base Salary
$107k - $216k/yr
Responsibilities
- Develop high-quality, scalable, robust, resilient, and efficient software solutions supporting quantitative research and investment processes.
- Build systems for alpha research, portfolio construction, risk management, time-series forecasting, simulation, and systematic investing.
- Design and implement quantitative models and production solutions using Python, quantitative techniques, and financial data.
- Construct and manage data pipelines, event-driven workflows, batch processes, and REST APIs.
- Design cloud architectures on AWS using services including Lambda, S3, EKS, and EC2.
- Implement containerization, CI/CD pipelines, infrastructure-as-code practices, code versioning, and production support capabilities.
- Operationalize machine-learning models and pipelines, including training, deployment, model registry, monitoring, and lifecycle management.
- Deploy and operate LLM-based and agentic workflows with orchestration, tool use, monitoring, and evaluation.
- Partner with quant researchers, investment teams, and other stakeholders through the full software development lifecycle.
Requirements
- Bachelor's degree in computer science, financial engineering, information technology, information systems, mathematics, physics, statistics, engineering, or a closely related field plus six years of experience as a Senior Quant Developer or similar role; alternatively, a master's degree or equivalent foreign education plus four years of experience as a Lead Quantitative Developer or similar role.
- Expertise in Python and full-stack software development, including object-oriented programming, design patterns, and unit testing.
- Strong knowledge of mathematics, statistics, quantitative finance, econometrics, probability, linear regression, and time-series analysis.
- Experience building robust and efficient systems for financial investment decisions in a systematic investing or trading environment.
- Experience with quantitative models, forecasting, portfolio construction, risk management, alpha research, and simulation-based algorithms.
- Experience with SQL databases, particularly Oracle, and batch scheduling or API technologies such as Autosys, Airflow, FastAPI, and Flask.
- Proven ability to build data pipelines and event-driven workflows, design AWS cloud architectures, and implement DevOps and CI/CD practices.
- Experience with Docker, Linux, Jenkins, GitHub, and infrastructure-as-code methodologies.
- Preferred qualifications include R, Snowflake, NoSQL or graph databases, optimization libraries such as Gurobi, CPLEX, Axioma, or SciPy, and portfolio construction or optimization.
- Preferred qualifications include MLOps with SageMaker and Bedrock, experiment tracking with MLflow, ML applications in quantitative investing, and production LangGraph or LangChain workflows.
- Knowledge of at least one asset class such as equities, fixed income, or alternatives is required, while progress toward the CFA or equivalent is a plus.
- Strong communication, collaboration, and problem-solving skills are required.
Benefits
- Fidelity is transitioning to a full-time onsite working model through a phased rollout, with current expectations varying by region and role; fully remote roles are excluded from the transition.
- Benefits include comprehensive healthcare coverage, emotional well-being support, retirement benefits, paid time off, parental leave, charitable giving matches, student loan repayment, tuition reimbursement, and learning resources.
- The position may include bonus or other variable compensation depending on eligibility.
Categories
About Fidelity
Fidelity Investments provides brokerage, retirement plan recordkeeping, wealth management, and asset management services to individuals, employers, advisors, and institutions, plus online trading platforms and mutual funds and ETFs. It earns fees from managing and administering assets, advisory services, and brokerage transactions. Founded in 1946 and headquartered in Boston, it is privately held and administers trillions of dollars for U.S. and global customers.