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Quantitative Software Engineer Jobs (NOW HIRING)

Quantitative Engineer

New York, NY ยท On-site

$190K - $270K/yr

Vise is seeking a passionate Quantitative Engineer to join our talented engineering team. As we build the future of wealth management, you will partner closely with our investment strategy and core ...

Quantitative Engineer

New York, NY ยท On-site

$190K - $270K/yr

Vise is seeking a passionate Quantitative Engineer to join our talented engineering team. As we build the future of wealth management, you will partner closely with our investment strategy and core ...

Engineer will provide the Quant Data API for historical and real-time Bars data used to analyze research data and for live trading. Candidate will work closely with the research PM to provide the ...

Engineer will provide the Quant Data API for historical and real-time Bars data used to analyze research data and for live trading. Candidate will work closely with the research PM to provide the ...

Undergraduate or graduate candidates in computer science or engineering * Significant experience in Python, C++, C, or Java * Serious interest in systems programming (e.g. Linux kernel development ...

Quantitative Software Developer Intern

New York, NY ยท On-site

$21 - $27.50/hr

Undergraduate or graduate candidates in computer science or engineering * Significant experience in Python, C++, C, or Java * Serious interest in systems programming (e.g. Linux kernel development ...

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 ...

All Options is looking for a Quantitative Trader to join our Trading team in our Austin, TX office ... Proficiency in programming (Python, C++, or others). * Ability to perform under pressure and remain ...

About the Position At Jane Street, quantitative traders identify market signals, analyze and ... General programming experience is a plus, but knowing a particular programming language is not ...

Quantitative Financial Engineer (SS&C Technologies, Inc.; Windsor, CT) (Multiple Positions): The Quantitative Financial Engineer is responsible for applying mathematical and statistical techniques to ...

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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 Jul 3, 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 are Quantitative Software Engineers?

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.
What cities are hiring for Quantitative Software Engineer jobs? Cities with the most Quantitative Software Engineer job openings:
What states have the most Quantitative Software Engineer jobs? States with the most job openings for Quantitative Software Engineer jobs include:
What are popular job titles related to Quantitative Software Engineer jobs? For Quantitative Software Engineer jobs, the most frequently searched job titles are:
Infographic showing various Quantitative Software Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.
Quantitative Engineer

Quantitative Engineer

Vise

New York, NY โ€ข On-site

$190K - $270K/yr

Other

Medical, Retirement, PTO

Posted 12 days ago


Job description

We are not working with external recruiting partners at this time, please apply directly to the role if you have further interest in joining Vise

Engineering at Vise has the unique opportunity to use technology to revolutionize the RIA wealth management industry. Team members are given ownership and trust with the understanding that they are supported by industry experts and together can build a best-in-class product. We are a small, high-impactย  team where everyone has a voice in the development of our product and technology.

Vise is seeking a passionate Quantitative Engineer to join our talented engineering team. As we build the future of wealth management, you will partner closely with our investment strategy and core engineering teams, as well as our Chief Investment Officer to build sophisticated investment models which shape our portfolio construction and portfolio insights. You will be responsible for writing production ready quantitative models, using advanced numerical techniques, convex optimization routines and industry leading practices.ย 

Our team is deeply curious, with a strong desire to solve problems that have noย  defined answer. You should feel comfortable reimagining investment management and questioning every market assumption. The ideal candidate thrives in a creative, inventive, and fast-paced startup environment and wants to work with people who are equally passionate about our work and mission. The problems we're solving as an organization are dynamic and each day brings fresh and exciting challenges. We're interested in people who will react quickly and efficiently when called upon to change or pivot.

We work closely with convex optimization techniques and numerical optimizations of various problems. Past exposure in solving complex problems in a numerically optimized way is a plus.

What you will own

  • Help to maintain and expand the tax-aware portfolio optimizer using state of the art optimization techniques
  • Develop deep expertise in the trade market microstructure of various instruments like ETFs,ย  Mutual Funds, ADRs, Money Market funds, Alternatives, etc.
  • Work closely with the core engineering team to build out infrastructure to support our workflow models
  • Help oversee daily portfolio optimization pipelines involving 1000s of client accounts
  • Build rigorous testing frameworks, pipelines to ensure quality and stability of the investment product
  • Build and test complex investment ideas
  • Apply quantitative techniques like machine learning to a vast array of data sets
  • Partner cross-functionally with other teams on a daily basis and make decisions together quickly

What you bring on day one

  • Bachelor's degree / Master's Degree / Ph.D in STEM majors
  • Experience programming in Python is required (3+ years)
  • Interest in highly optimized numerical computations
  • Passion for profession in the quantitative finance track
  • Applied experience in building great production-level workflow infrastructure
  • Excellent comprehension of statistics
  • Prior professional experience within financial markets is a plus
  • Familiarity with commercial risk and optimization solutions is a strong plus
  • Excellent interpersonal and communication skills
  • Strong analytical skills
  • Collaborative with a team-first mentality

Why join Vise:

  • Opportunity to make a significant impact at a hyper-growth fintech start-up
  • Competitive salary and equity
  • Unlimited PTO and great benefits, including $1 medical insurance
  • 401k plan with generous matching and self-directed brokerage account option
  • Access to investment management and free financial advice from one of our partner RIA firms
  • Paid lunches at our NYC office
  • Career growth and development opportunities

Through the internal and market data Vise has collected, we expect the salary range for this position to be $190,000 - $270,000 per year, plus a competitive equity package. Your actual compensation will be determined based on your skills, qualifications, and experience. In addition, Vise offers a wide range of comprehensive and inclusive employee benefits.ย 

About Vise:

Vise is an artificial intelligence (AI) powered asset management platform designed specifically for financial advisors to build, manage and explain personalized portfolios. In today's world, AI is driving personalization across various industries, enhancing the way we shop, consume content, and engage with technology. Embracing this trend, Vise is leading the charge to bring this level of personalization to how we invest. Vise ushers in Wealth 3.0, moving beyond mutual funds and ETFs to offer personalized and automated portfolios. By harnessing the power of AI, Vise enables financial advisors to create tailored investment strategies that cater to each client's unique financial needs and goals.

Financial advisors are at the heart of this transformation, as their relationships with clients are essential to understanding and meeting each client's unique financial needs. With Vise, advisors can focus on nurturing these relationships instead of spending time building and managing portfolios. Our platform empowers advisors to create institutional-grade, personalized portfolios, automate their management, and explain valuable insights that enhance their expertise and service to clients. Vise is the outsourced sub-advisor, doing trading, rebalancing, and managing client portfolios fully automated on the advisor's behalf; Vise charges an AUM fee for its services.ย 

Our exceptional New York team comprises world-class Ph.D. quants, investment researchers, and engineers with experience at industry-leading firms like Citadel, Blackrock, Stripe, and Stanford. Combining top financial and engineering talent, we pride ourselves on delivering products faster and understanding our customers' needs better than anyone else in the market. Vise has garnered the support of prominent venture capital firms, raising over $130M from Sequoia Capital and Founders Fund, among others.

Vise celebrates and embraces diversity and is committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.