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Quant Engineer Jobs in Rutherford, NJ (NOW HIRING)

You will work on complex engineering problems in a close relationship with traders and quants. Your responsibilities will span a variety of applications including automated quoting, execution and ...

You will work on complex engineering problems in a close relationship with traders and quants. Your responsibilities will span a variety of applications including automated quoting, execution and ...

You will be the primary NY-based engineer supporting portfolio managers, analysts and quants functions across both business lines. The role spans Python data pipelines and analytics platforms serving ...

You will be the primary NY-based engineer supporting portfolio managers, analysts and quants functions across both business lines. The role spans Python data pipelines and analytics platforms serving ...

You will be the primary NY-based engineer supporting portfolio managers, analysts and quants functions across both business lines. The role spans Python data pipelines and analytics platforms serving ...

Optiver is seeking a Quantitative Engineer specializing in the US corporate bond and credit derivative markets to join the greenfield buildout of our systematic credit trading business. Our ...

Optiver is seeking a Quantitative Engineer specializing in the US corporate bond and credit derivative markets to join the greenfield buildout of our systematic credit trading business. Our ...

Showing results 41-60

Quant Engineer information

See Rutherford, NJ salary details

$38.7K

$92.3K

$153.4K

How much do quant engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for quant engineer in Rutherford, NJ is $92,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $101,900.00 per year, depending on experience, location, and employer.

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.

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 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 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.

What are popular job titles related to Quant Engineer jobs in Rutherford, NJ?

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

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

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

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

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

Quantitative Engineer - Consumer & Wholesale

Bank of America

Jersey City, NJ • On-site

Full-time

PTO

Re-posted yesterday


Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 529 frontline employees who took The Breakroom Quiz

50th of 171 rated banks


Job description

Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
Quantitative Engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components enable GRM's data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire spectrum of a big data stack - from data to logic to model to UI to UX.
Responsibilities:
  • Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
  • Understanding financial data: schemas, flow, size, data issues, data controls, etc.
  • Building performant big data pipelines
  • Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
  • Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements
  • Think outside the box of current industry standards to develop innovative approaches
  • Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
  • Source and evaluate data required for modeling and testing
  • Design and develop and implement models and tests
  • Produce clear, concise and repeatable technical documentation models and tests for internal and regulatory purposes

Required Qualifications:
  • Bachelor's degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience
  • A minimum of 1-2 years relevant professional experience or evidence of personal projects and endeavours that show a passion for coding and problem solving.
  • Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles
  • Candidates should have at least one of these following skills and preferably have at least two of these skills:-
  • Strong analytical and problem-solving skills
  • Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions
  • Experience with large scale data sets with structured or unstructured data
  • Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.
  • Experience implementing process improvements and automation
  • Strong Python development skills (including Pandas and related data-processing libraries).
  • Experience with big data technologies such as Spark, PySpark, Hadoop, and Hive.
  • Exposure to quantitative modeling or financial modeling is a plus, but not required.
  • Software engineering: modular code, software lifecycle processes, unit testing, regression testing
  • Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software
  • Modeling / quantitative: basic modeling techniques (regression, classification, clustering, etc)

Skills:
  • Critical Thinking
  • Data Modeling
  • Process Effectiveness
  • Risk Modeling
  • Test Engineering
  • Influence
  • Oral Communications
  • Prioritization
  • Relationship Building
  • Written Communications
  • Attention to Detail
  • Change Management

Minimum Education Requirement: Bachelor's degree in related field or equivalent work experience
Shift:
1st shift (United States of America)
Hours Per Week:
40
Pay Transparency details
US - NJ - Jersey City - 525 Washington Blvd (NJ2525)
Pay and benefits information
Pay range
$90,000.00 - $155,500.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

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