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Quant Finance Jobs in Boston, MA (NOW HIRING)

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Defines and communicates financial facts and filters relevance using econometric modeling tools. Enhances the use of quantitative finance within company's investment process. Offers clear, concise ...

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Defines and communicates financial facts and filters relevance using econometric modeling tools. Enhances the use of quantitative finance within company's investment process. Offers clear, concise ...

Quantitative Data Analyst

Boston, MA · On-site

$90K - $150K/yr

Lazard is one of the world's preeminent financial advisory and asset management firms. Our people ... Become a domain owner for key quant datasets (e.g., market data, fundamentals, corporate actions ...

Quantitative Data Analyst

Boston, MA · On-site

$90K - $150K/yr

Lazard is one of the world's preeminent financial advisory and asset management firms. Our people ... Become a domain owner for key quant datasets (e.g., market data, fundamentals, corporate actions ...

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Quant Finance information

See Boston, MA salary details

$106.5K

$184.4K

$281.9K

How much do quant finance jobs pay per year?

As of Aug 27, 2026, the average yearly pay for quant finance in Boston, MA is $184,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,100.00 and $216,200.00 per year, depending on experience, location, and employer.

What is a quant finance?

A Quant Finance job involves applying mathematical models, statistical techniques, and programming skills to analyze financial markets and develop trading or risk management strategies. Quantitative analysts, or “quants,” work in areas like algorithmic trading, portfolio management, and derivatives pricing. They use advanced concepts from mathematics, statistics, and computer science to optimize investment decisions and manage financial risk.

What do quant finance professionals do?

Quant Finance professionals are often involved in designing, developing, and implementing mathematical models to price securities, manage risk, and optimize investment strategies. Their day-to-day work can include analyzing large data sets, running simulations, building algorithmic trading systems, and collaborating with traders, portfolio managers, and software engineers. They may also contribute to scenario analysis, stress testing portfolios, and validating existing models to ensure regulatory compliance and accuracy. The role demands adaptability and close teamwork, as projects can shift rapidly in response to market changes or new research findings.

What skills and qualifications are needed to thrive in quant finance?

To thrive in Quant Finance, a strong background in mathematics, statistics, computer science, and finance, often supplemented by a graduate degree in a quantitative field, is essential. Mastery of programming languages such as Python, R, or C++, and familiarity with financial modeling platforms and certifications like CFA or FRM, are typically required. Excellent analytical thinking, problem-solving abilities, and effective communication skills help individuals excel in complex, collaborative environments. These skills ensure the ability to design robust quantitative models, interpret data-driven insights, and collaborate successfully with both technical and non-technical colleagues.

What are quant finance jobs in finance?

Quant finance jobs involve developing and applying mathematical models and algorithms to analyze financial markets, manage risk, and optimize investment strategies. These roles typically require strong skills in mathematics, programming, and finance, often utilizing tools like Python, R, or MATLAB. Quantitative analysts, or quants, work in trading firms, investment banks, and hedge funds to support data-driven decision-making.

What are the most commonly searched types of Quant Finance jobs in Boston, MA?

The most popular types of Quant Finance jobs in Boston, MA are:

What job categories do people searching Quant Finance jobs in Boston, MA look for?

The top searched job categories for Quant Finance jobs in Boston, MA are:

Infographic showing various Quant Finance job openings in Boston, MA as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $184,384 per year, or $88.6 per hour.

Principal Quant Developer

Fidelity Investments

Boston, MA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 25 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

17th of 152 rated financial services


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.
The base salary range for this position is $107,000-216,000 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.
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