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Quant Engineer Jobs in New York (NOW HIRING)

Frec Markets, Inc

Quant Developer

New York, NY · On-site

$200K - $300K/yr

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 Researcher

New York, NY · On-site

$200K - $300K/yr

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 ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site

$80 - $90/hr

On-site in Jersey City, NJ Our client seeks a senior software engineer to lead design and ... You will collaborate across quant, product, and engineering teams, mentor peers, and deliver robust ...

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Quant Engineer information

What engineer makes $500,000 a year?

Quantitative engineers, or quants, working in finance or hedge funds with extensive experience, advanced degrees, and strong programming skills can earn $500,000 or more annually through base salary, bonuses, and profit sharing. Such compensation typically requires expertise in mathematics, programming languages like Python or C++, and a deep understanding of financial markets. These roles are often located in major financial hubs and demand high levels of performance and specialization.

How much do quants get paid?

Quantitative analysts, or quants, typically earn between $100,000 and $200,000 annually at entry to mid-level positions, with senior roles often exceeding $300,000 including bonuses. Compensation varies based on experience, location, firm size, and performance, with many quants also receiving performance-based bonuses and benefits. Strong skills in mathematics, programming, and finance are essential for higher salaries in this field.

What engineers make $300,000 a year?

Senior quantitative engineers, often called quant researchers or quant developers, can earn $300,000 or more annually, especially with experience, advanced degrees, and expertise in programming languages like Python or C++, as well as knowledge of financial markets and risk management. Compensation typically includes base salary, bonuses, and profit sharing, particularly in hedge funds, investment banks, and proprietary trading firms.

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 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.

Do I need a PhD to be a quant?

A PhD is not strictly required to become a quantitative engineer, but many roles prefer candidates with advanced degrees in fields like mathematics, physics, or engineering. Strong programming skills, proficiency in tools like Python or C++, and solid quantitative knowledge are essential for success in the field.

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 New York? For Quant Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Quant Engineer jobs in New York look for? The top searched job categories for Quant Engineer jobs in New York are:
What cities in New York are hiring for Quant Engineer jobs? Cities in New York with the most Quant Engineer job openings:
Quant Engineer jobs near you
Infographic showing various Quant Engineer job openings in New York as of July 2026, with employment types broken down into 4% Internship, 76% Full Time, 7% Part Time, and 13% Contract. Highlights an 89% In-person, 5% Hybrid, and 6% Remote job distribution.

Director Quant Engineer, Finance Analytics

Webster Bank

Stamford, CT • On-site

Full-time

Posted 5 days ago

Webster Bank rating

7.1

Company rating: 7.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

124th of 170 rated banks

Job description

If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster's values, these set us apart as a bank and as an employer.
Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!
The role involves gathering and understanding FP&A business requirements; Webster's data systems and tools; designing coding and maintaining data workflows; anticipating and resolving data challenges; user-friendly reports and dashboards; and clearly communicating results. The individual needs to collaborate with IT, Data Team, and LoB partners in developing data workflows, data analysis and reporting. The scope includes working across one or more of our main verticals: R&D, Quarterly Production, and/or Credit Scorecards. The Quant Engineer role is right for you if you're a "hands-on" coder and analyst, who takes ownership and puts the business first.
Job Description Summary
If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935, our focus has always been to put people first, doing whatever we can to help individuals, families, businesses, and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, and Excellence are Webster's values that set us apart as a bank and as an employer.
Come join our Financial Planning & Analysis (FP&A) team, where you can expand your career potential, benefit from robust development opportunities, and enjoy meaningful work. We are seeking a Director, Quant Engineer, Finance Analytics to serve as a key technical leader responsible for designing, developing, and maintaining data workflows, analytical solutions, and reporting capabilities that support critical FP&A initiatives.
This role requires a hands-on engineer and analyst who can effectively partner with Finance, IT, Data Management, Risk, and business stakeholders to translate business requirements into scalable data and analytics solutions. The successful candidate will leverage Webster's data systems and tools to support key functions including Research & Development (R&D), Quarterly Production, and Credit Scorecards while driving innovation, automation, and operational excellence across the FP&A organization.
Primary Responsibilities
  • Gather, analyze, and document FP&A business requirements and translate them into scalable analytical and technical solutions.
  • Design, develop, implement, and maintain robust data workflows supporting financial planning, forecasting, reporting, and credit analytics.
  • Lead the development, implementation, and maintenance of CECL credit loss models supporting regulatory reserving, stress testing, and underwriting activities.
  • Personally participate in coding, testing, deployment, and maintenance of analytical models, workflows, and production processes.
  • Develop deep expertise in Webster's data platforms, systems, tools, and reporting environments.
  • Partner with IT, Data Management, Finance, Risk, and business stakeholders to develop data architectures, workflows, and reporting solutions.
  • Create intuitive reports, dashboards, and data visualizations that enable effective decision-making across the organization.
  • Anticipate, identify, and resolve data quality, workflow, and operational challenges impacting model and reporting processes.
  • Maintain comprehensive workpapers and development documentation supporting governance, audit, validation, and regulatory requirements.
  • Author technical documentation detailing model design, development, testing, implementation, and ongoing enhancements.
  • Effectively communicate analytical findings, technical concepts, and business insights to both technical and non-technical audiences.
  • Lead and/or participate in discussions with Executive Management, Model Risk Management, Audit, Regulatory, and cross-functional project teams.
  • Drive continuous improvement initiatives by identifying opportunities to automate processes and enhance analytical capabilities.

Required Skills & Experience
  • 10+ years of software engineering, data engineering, analytics, or quantitative modeling experience within a commercial bank or financial institution.
  • Strong experience working with complex relational databases and large-scale data structures using Oracle, SQL, or similar technologies.
  • Advanced proficiency in Python, SAS, and/or R programming languages.
  • Experience designing, implementing, and maintaining efficient and scalable data workflows.
  • Experience with workflow orchestration tools such as Apache Airflow or similar platforms.
  • Strong understanding of software development lifecycle methodologies, coding standards, testing frameworks, and deployment practices.
  • Experience building analytical solutions supporting financial, credit risk, forecasting, or reporting functions.
  • Knowledge of commercial and consumer banking products, processes, and operations.
  • Strong analytical, problem-solving, and critical-thinking capabilities.
  • Demonstrated ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.
  • Excellent written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
  • Strong attention to detail and commitment to data quality and accuracy.

Preferred Skills & Experience
  • Experience supporting CECL, stress testing, underwriting, loss forecasting, or credit risk analytics functions.
  • Knowledge of dashboarding and reporting tools such as Tableau, Qlik Sense, or similar business intelligence platforms.
  • Experience supporting model governance, validation, audit, and regulatory review processes.
  • Strong understanding of financial planning and analysis processes within a banking environment.
  • Experience developing enterprise-scale data platforms and analytical solutions.
  • Proven ability to collaborate effectively across Finance, Risk, IT, Data Management, and business organizations.
  • Strong project leadership and stakeholder management skills.
  • Experience driving process automation and workflow optimization initiatives.
  • Familiarity with model risk management frameworks and regulatory expectations.

Education
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Finance, Economics, or a related quantitative field required.
  • Master's degree in a quantitative discipline preferred.
  • Equivalent combinations of education, technical training, and relevant professional experience will be considered.

The estimated salary range for this position is $160,000 USD to $180,000 USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.
Webster Financial Corporation and its subsidiaries ("Webster") are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.

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