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Quant Engineer Jobs (NOW HIRING)

The TCW Group

Lead Quantitative Engineer

Manhattan, NY

$113K - $148.80K/yr

Lead Quant Engineer Risk & Research Technology is responsible for building and operating the firm's analytics technology capabilities that enable investment research, portfolio construction, and risk ...

The Right Click, Inc.

Quant Developer

Wellington, FL · Hybrid

Our client is seeking a Quantitative Developer to support and enhance a high-performance systematic trading platform. The ideal candidate enjoys building robust systems, working with complex datasets ...

The TCW Group

Lead Quantitative Engineer

Los Angeles, CA

$110.40K - $145.50K/yr

The Lead Quant Engineer is a senior individual contributor responsible for the architecture, technical leadership, and hands-on engineering behind the evolution of the firm's macro and security ...

The TCW Group

Lead Quantitative Engineer

Los Angeles, CA · On-site

$110.40K - $145.50K/yr

The Lead Quant Engineer is a senior individual contributor responsible for the architecture, technical leadership, and hands-on engineering behind the evolution of the firm's macro and security ...

Frec

Quant Developer

Manhattan, NY

Quantitative Developer We created Frec to expand the possibilities for everyone and their money. We're a tight team of builders, creators, and designers who want to be smarter with our money for our ...

Frec Markets, Inc

Quant Developer

Manhattan, NY

As a quantitative developer at Frec, you'll create products that enable us to level the financial playing field and empower people to manage their own money. Some values we identify with are ...

Frec Markets, Inc

Quant Developer

New York, NY · On-site

As a quantitative developer at Frec, you'll create products that enable us to level the financial playing field and empower people to manage their own money. Some values we identify with are ...

Benton Partners

Quant Dev

Manhattan, NY

Quantitative Developer IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation ...

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Quant Engineer information

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$38K

$90.5K

$150.5K

How much do quant engineer jobs pay per year?

As of Jun 2, 2026, the average yearly pay for quant engineer in the United States is $90,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $100,000.00 per year, depending on experience, location, and employer.

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.

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 Quant Engineers?

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.

More about Quant Engineer jobs
What cities are hiring for Quant Engineer jobs? Cities with the most Quant Engineer job openings:
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Quant Engineer jobs near you
Infographic showing various Quant Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $90,538 per year, or $43.5 per hour.
VP, Principal Quant Engineer

VP, Principal Quant Engineer

Acadian Asset Management LLC

Boston, MA • On-site

$185K - $225K/yr

Full-time

Medical, Retirement

Posted 29 days ago

Job description

Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $170 billion on behalf of leading institutions worldwide-including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches.
What sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We're united by a shared purpose: delivering effective client outcomes and supporting one another in work that's both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture-all designed to support the meaningful, collaborative work that defines Acadian.
Position Overview:
We are seeking a Principal Quant Engineer to work in close collaboration with Research, Portfolio Management, and Data teams to design and implement scalable, production-grade platforms that support Acadian's quantitative research and investment processes.
This role focuses on building quant tooling that enables researchers to efficiently develop, evaluate, and deploy quantitative models across investment processes including alpha, risk, transaction cost analysis, attribution, etc. The emphasis is on creating infrastructure that makes quantitative research repeatable, observable, and production-ready at scale.
Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.
What You'll Do:
  • Design and implement quant tooling that supports signal construction and evaluation workflows, powering production portfolios across global asset universes.
  • Work closely with quantitative researchers to ensure research infrastructure continues to evolve in step with their needs, enabling efficient experimentation and reliable alpha generation.
  • Lead the AI centric development and evolution of core platform capabilities that support signal computation, data access, workflow orchestration, and distributed execution for both quantitative signals and machine learning-based techniques, including deep learning workflows built with PyTorch.
  • Ensure platform flexibility while maintaining integration with downstream processes for portfolio construction, portfolio management, marketing, client reporting, etc
  • Incorporate machine learning and AI techniques into signal construction, parameter estimation, and efficacy evaluation workflows where they improve forecast quality and research productivity, including hyper-parameter optimization using frameworks such as Optuna or similar.
  • Provide architectural leadership to improve robustness, transparency, scalability, and performance of data- and compute-intensive research and production workflows.
  • Collaborate with data and platform teams to streamline access to market data, alternative datasets, and compute resources, reducing friction in the research "inner loop" of signal development, backtesting, and validation.
  • Contribute to the end-to-end machine learning lifecycle capabilities, including experiment tracking, model management, embedding and graph visualization, and deployment, drawing on tools and concepts such as MLflow.

We're Looking for Teammates With:
  • Bachelor's degree or higher in Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
  • 7+ years of experience in software engineering, with significant hands-on work supporting quantitative research, signal development, or systematic investing in production environments.
  • Demonstrated experience building and operating quantitative platforms that support signal modeling, evaluation, and deployment at scale.
  • Strong proficiency in Python and modern data processing and numerical computing tools (e.g., Polars).
  • Familiarity with machine learning and AI-assisted development techniques, including the use of AI or agentic coding tools (e.g. Claude Code) to improve research and engineering productivity.
  • Solid understanding of system design concepts.
  • Demonstrated ability to deliver robust, transparent, and performant systems.
  • Strong attention to detail and a commitment to producing accurate, reliable, and well-engineered solutions.
  • Creativity and enthusiasm for solving complex problems.
  • Strong work ethic and a roll-up-your-sleeves mindset, with the ability to operate effectively in a hands-on, collaborative environment.

The base salary range for this role is $185,000 - $225,000 per year. Actual compensation will be determined based on a candidate's skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian's comprehensive benefits program, which includes health, retirement, and wellness offerings.
To apply for this position or view Acadian's open roles, please visit the Careers section of our website at: http://www.acadian-asset.com/careers/Job-opportunities. We will contact only selected candidates. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at recruiting@acadian-asset.com.
Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender, race, creed, color, sex, age, national origin, marital status, pregnancy or parenthood, veteran status, citizenship status, disability, gender identity, or sexual orientation.

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