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Quantitative Software Engineer Jobs (NOW HIRING)

IMC

Quantitative Developer - Python

Chicago, IL · On-site

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

IMC

Quantitative Developer

New York, NY · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

IMC B.V.

Quantitative Developer - Python

Chicago, IL · On-site

$200 - $225/hr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

IMC is looking for a Quantitative Developer to own the full path from research to production. This ... software development, preferably at a trading firm or systematic fund * Strong production ...

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Quantitative Software Engineer information

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$11K

$129.7K

$198K

How much do quantitative software engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for quantitative software engineer in the United States is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Software Engineer vs Quantitative Analyst?

AspectQuantitative Software EngineerQuantitative Analyst
CredentialsDegree in Computer Science, Software Engineering, or related field; coding skillsDegree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentDevelops trading algorithms, software tools, and infrastructureBuilds financial models, analyzes market data, and advises on investment strategies
Industry UsageTechnology-driven financial firms, hedge funds, trading firmsInvestment banks, asset management firms, hedge funds

While both roles involve quantitative skills, Quantitative Software Engineers focus on developing software systems and tools used in trading and risk management, whereas Quantitative Analysts primarily analyze data and develop models to inform investment decisions. The roles often collaborate but differ in technical focus and daily tasks.

What is a quantitative software engineer?

Quantitative Software Engineers are professionals who design, develop, and maintain software systems for quantitative analysis, often in finance, trading, or research environments. They combine expertise in mathematics, statistics, and computer science to build models and algorithms that analyze large data sets, optimize trading strategies, or automate decision-making processes. Their work involves close collaboration with quantitative analysts (quants) and requires strong programming skills, typically in languages like Python, C++, or Java. The role is key in ensuring that quantitative models are efficiently implemented and scalable for real-world applications.

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

To thrive as a Quantitative Software Engineer, you need a strong background in mathematics, statistics, computer science, and programming languages such as Python, C++, or Java, typically supported by a relevant degree. Proficiency with data analysis tools, quantitative libraries, and version control systems like Git is essential, and knowledge of financial modeling or algorithmic trading platforms is often required. Strong problem-solving abilities, attention to detail, and effective teamwork distinguish top performers in this field. These skills are crucial for building robust, efficient systems that support data-driven decision-making in high-stakes environments.

What does a quantitative software engineer do?

As a quantitative software engineer, your responsibilities are to design and build tools to develop a platform for clients for the purpose of enhancing various processes they have. To achieve this, you apply advanced analytics and concepts to develop system solutions. Your duties also include researching the computer-software development lifecycle and modeling new products to supplement the software. You assist clients with the quality and timeliness of research, analysis, and development while focusing on best practices. In this role, you typically work with your team and the client to develop, validate, and implement product and software solutions.

How does a quantitative software engineer typically collaborate with researchers and traders in a financial firm?

Quantitative Software Engineers work closely with quantitative researchers and traders to design, implement, and optimize trading algorithms and analytics tools. They often translate research prototypes into robust, production-ready code, ensuring that strategies can be executed efficiently and reliably in real market conditions. Regular collaboration involves participating in cross-functional meetings, gathering requirements, and providing technical feedback to improve both performance and usability of systems. This collaborative environment helps ensure that trading strategies are not only innovative but also technically sound and scalable.
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Quantitative Software Engineer jobs near you
Infographic showing various Quantitative Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

Quantitative Engineer - Consumer & Wholesale

Bank of America

Jersey City, NJ • On-site

Full-time

PTO

Posted 23 days ago

Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

51st 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

Year founded

1998

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