ZipRecruiter

Log In

1

Quant Engineer Jobs in Boston, MA (NOW HIRING)

Lazard, Inc.

Quantitative Data Analyst

Boston, MA · On-site

$90K - $150K/yr

... with quant developers to harden and operationalize your solutions * Maintain high-quality dataset documentation and operational runbooks (definitions, assumptions, known quirks, troubleshooting ...

Lazard, Inc.

Quantitative Data Analyst

Boston, MA

$90K - $150K/yr

... with quant developers to harden and operationalize your solutions * Maintain high-quality dataset documentation and operational runbooks (definitions, assumptions, known quirks, troubleshooting ...

HarbourVest

Associate, Quantitative Developer

Boston, MA · Hybrid

$160K - $165K/yr

The Associate, Q ua ntitative Developer will be a member of the Quantitative Investment Science ... This engineer will translate business requirements into reliable, performant, and maintainable ...

Fidelity Investments

Quantitative Analyst

Boston, MA · On-site

$100K - $200K/yr

The Team SAI's quantitative research analysts work either directly on an asset class or product ... Our projects typically lie at the intersection of investment management, portfolio engineering ...

Fidelity Investments

Quantitative Analyst

Boston, MA · On-site

$100K - $200K/yr

The Team SAI's quantitative research analysts work either directly on an asset class or product ... Our projects typically lie at the intersection of investment management, portfolio engineering ...

previous page

Showing results 41-60

All JobsQuant Engineer JobsQuant Engineer Jobs in Boston, MA

Quant Engineer information

See Boston, MA salary details

$41.3K

$98.4K

$163.5K

How much do quant engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for quant engineer in Boston, MA is $98,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $108,600.00 per year, depending on experience, location, and employer.

What is the salary of a quant engineer?

The salary of a quant engineer typically ranges from $100,000 to $200,000 annually, with higher compensation for those with advanced degrees, extensive experience, or specialized skills in programming languages like Python or C++. In addition to base salary, many quant engineers receive bonuses and performance incentives, especially in financial firms or hedge funds.

What are the key skills and qualifications needed to thrive as a quant engineer, and why are they important?

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What is a quant engineer?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do quant engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.
What are popular job titles related to Quant Engineer jobs in Boston, MA? For Quant Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Quant Engineer jobs in Boston, MA look for? The top searched job categories for Quant Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Quant Engineer jobs? Cities near Boston, MA with the most Quant Engineer job openings:
Quant Engineer jobs near you
Infographic showing various Quant Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,361 per year, or $47.3 per hour.

Quantitative Data Analyst

Lazard, Inc.

Boston, MA • On-site

$90K - $150K/yr

Full-time

Re-posted 23 days ago

Job description


Lazard is one of the world's preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborativecommunity of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward - and for careers to take flight.
The Advantage Quantitative Equity team is hiring a Quantitative Data Analyst to take ownership of the quality, reliability, and usability of the quantitative datasets that power our research and production investment workflows. These datasets are the direct inputs to factor models, risk models, alpha signals, backtests, and live portfolio construction - data quality here has real investment consequences.
We'll trust you to:
  • Become a domain owner for key quant datasets (e.g., market data, fundamentals, corporate actions, identifiers/reference data) and develop a detailed understanding of their structure, lineage, known quirks, and intended use in research and production workflows
  • Onboard new datasets end-to-end: profiling, schema/coverage validation, identifier mapping, cross-source reconciliation, documentation, and support for productionization
  • Build and maintain automated data validation and monitoring processes (completeness, timeliness, duplication, outliers, stale/missing series, mapping breaks), along with clear quality metrics and dashboards - implemented in code, not spreadsheets
  • Investigate data anomalies impacting research or production output: triage, isolate root cause, quantify impact, coordinate remediation, and write the code that prevents recurrence
  • Write Python scripts, pipelines, and utilities (using pandas, NumPy, and related libraries) to automate validation, onboarding, reconciliation, and monitoring workflows; collaborate with quant developers to harden and operationalize your solutions
  • Maintain high-quality dataset documentation and operational runbooks (definitions, assumptions, known quirks, troubleshooting guidance), improving consistency and conventions across the data ecosystem
  • Maintain datasets over time through routine checks, backfills, and improvements as vendor definitions, schemas, and business requirements evolve
  • Engage constructively with internal teams and external vendors when addressing data issues or evaluating new sources

You'll need to have:
  • Bachelor's degree in a quantitative discipline (e.g., Statistics, Mathematics, Economics, Finance, Computer Science) or equivalent practical experience
  • Hands-on experience working with quantitative financial datasets - e.g., prices/returns, fundamentals, corporate actions, security master / reference data, factor data, risk model inputs - from vendors such as Bloomberg, Refinitiv/LSEG, Compustat, FactSet, or ICE
  • Solid understanding of common time-series data quality challenges in a systematic investment context: staleness, point-in-time correctness, survivorship bias, partial trading days, identifier changes (CUSIP/ISIN/ticker), and corporate action adjustments
  • Experience working with vendor datasets; comfort reconciling across sources and managing schema/definition changes over time
  • Strong SQL skills: ability to write and optimize queries to validate, reconcile, and investigate issues across large analytical datasets
  • Strong Python skills: able to write clean, maintainable scripts, pipelines, and reusable utilities independently; comfortable with pandas, NumPy, file I/O, and scheduling
  • Strong analytical and debugging mindset; able to diagnose data inconsistencies systematically and drive fixes through to completion
  • Strong communication and collaboration skills; effective in small, close-knit teams with direct stakeholder interaction

It's a bonus to have:
  • Experience at a quantitative asset manager, systematic hedge fund, or similar investment data environment
  • Experience supporting production data pipelines and incident workflows (monitoring, alerts, runbooks, operational readiness)
  • Familiarity with modern data warehouses (e.g., Snowflake) and/or analytical engines (e.g., DuckDB, Polars)
  • Cloud experience, preferably Azure

What we offer:
We strive to enhance the total health and well-being of our employees through comprehensive, competitive benefits. Our goal is to offer a highly individualized employee experience that enables you to balance your commitments to career, family, and community. When you work for Lazard, you are working for an organization that care about your unique talents and passions, and will continue to invest in the development of your career.
We expect the base salary range for this role to be approximately $90,000 - $150,000 USD. Various factors contribute to determining the actual base compensation offered, including but not limited to the applicant's years of relevant experience, career tenure, qualifications, level of education attained, certifications or other professional licenses held, and relevant skills for the role. Base salary is one component of Lazard's compensation package, which also includes comprehensive benefits and may include incentive compensation.
Does this sound like you?
Apply! We'll get in touch and let you know the next steps.
Representation at Lazard
Lazard is an intellectual capital business committed to delivering the best advice and solutions to clients. To achieve these objectives, we focus on attracting, developing and retaining the best talent. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively and make better decisions.
Lazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential and contribute to our collective success.

Apply