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Quant Engineer Jobs in Newark, NJ (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

See Newark, NJ salary details

$39.7K

$94.7K

$157.4K

How much do quant engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for quant engineer in Newark, NJ is $94,678.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $104,600.00 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 Newark, NJ?

For Quant Engineer jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Quant Engineer jobs in Newark, NJ look for?

The top searched job categories for Quant Engineer jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Quant Engineer jobs?

Cities near Newark, NJ with the most Quant Engineer job openings:

Quant Engineer jobs near you

Market Risk Python Quant Engineer

Software Guidance & Assistance

Jersey City, NJ • On-site

Other

Posted 20 days ago

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Market Risk Python Cloud Engineer for a right to hire assignment with one of our premier financial services clients in Jersey City, NJ .
Responsibilities :
  • Take the sophisticated pricing models developed by our top quants and operationalize them on a colossal grid.
  • Ensure that millions of trades can be re-valued against thousands of historical market scenarios with extreme speed, efficiency, and rock-solid stability.
  • Architect the system that answers the most fundamental question in risk: "What is it worth, right now, under this scenario? " The performance and reliability of the platform you build will directly determine the firm's ability to manage risk and meet its most critical regulatory obligations.
  • Architect, build, and manage a massive-scale, distributed compute grid on public cloud platforms (AWS, Google Cloud Platform) for running financial pricing models.
  • Design and implement the orchestration layer responsible for distributing millions of pricing tasks efficiently across hundreds of thousands of CPU/GPU cores.
  • Deploy, manage, and version control a diverse library of quantitative pricing models, ensuring they run optimally in a distributed environment.
  • Obsessively monitor and optimize the performance, cost, and resource utilization of the cloud grid, driving continuous efficiency improvements.
  • Collaborate with quantitative development teams to seamlessly integrate new and updated pricing models into the production grid.
  • Engineer the data logistics to ensure that the correct market data, trade data, and model configurations are available for every calculation at runtime.
  • Ensure the pricing engine is highly available, resilient, and capable of meeting stringent recovery time objectives.
Required Skills :
  • 10+ years of professional experience with a proven track record of designing, building, and running applications on massive-scale compute grids.
  • Expert-level, hands-on experience with at least one major public cloud provider (AWS or Google Cloud Platform), including their batch processing, container, and serverless offerings.
  • Deep expertise in containerization and orchestration technologies (Docker, Kubernetes).
  • Strong programming skills in languages common to high-performance computing, such as C++ and Python.
  • A degree in Computer Science, Engineering, or a related technical field.
  • A strong background in distributed systems, performance tuning, and infrastructure-as-code principles.
  • Exceptional problem-solving skills, with an ability to diagnose and resolve complex issues in a high-pressure, large-scale environment.
  • Excellent communication skills and the ability to work effectively with quantitative research, trading, and risk management teams.
Preferred Skills :
  • Prior experience in a similar role within the financial industry (e.g., running large-scale Monte Carlo simulations, VaR calculations, or XVA pricing grids) is highly desirable.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy
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