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Quant Swe Jobs (NOW HIRING)

Senior Software Engineer

Austin, TX

$121K - $160K/yr

... highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ... Contribute as a core team member of the SWE team Interview Process * 15 minute HR Screening * 1 ...

Senior Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

... highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ... Contribute as a core team member of the SWE team Interview Process * 15 minute HR Screening * 1 ...

Senior Software Engineer

Austin, TX

$121K - $160K/yr

... highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ... Contribute as a core team member of the SWE team Interview Process * 15 minute HR Screening * 1 ...

Senior Software Engineer

Chicago, IL

$126K - $166K/yr

... highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ... Contribute as a core team member of the SWE team Interview Process * 15 minute HR Screening * 1 ...

Senior Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

... highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ... Contribute as a core team member of the SWE team Interview Process * 15 minute HR Screening * 1 ...

Senior Software Engineer

Austin, TX · On-site

$121K - $160K/yr

... highly quantitative disciplines, or equivalent experience. * Solid grasp of computer science ... Contribute as a core team member of the SWE team Interview Process * 15 minute HR Screening * 1 ...

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Quant Swe information

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$11K

$129.7K

$198K

How much do quant swe jobs pay per year?

As of Jun 12, 2026, the average yearly pay for quant swe 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 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 strong programming skills (often in Python, C++, or Java), a solid foundation in mathematics and statistics, and typically a degree in computer science, mathematics, engineering, or a related field. Familiarity with specialized tools like MATLAB, NumPy, Pandas, and version control systems, as well as experience with financial data platforms, is often required. Analytical thinking, attention to detail, and effective communication are essential soft skills for collaborating within cross-functional teams and delivering robust solutions. These skills and qualities are critical for building, optimizing, and maintaining complex models and systems that drive financial decision-making.

What are some common challenges faced by Quantitative Software Engineers when working with large-scale financial data sets?

Quantitative Software Engineers often encounter challenges related to the volume, velocity, and variety of financial data. Ensuring data integrity and accuracy is critical, as small discrepancies can significantly impact trading strategies. Additionally, optimizing algorithms for speed and scalability to process real-time market data is essential, often requiring close collaboration with data engineers and quantitative analysts. These professionals must also stay updated with the latest technologies to efficiently manage and analyze complex data environments.

What jobs pay 500,000 a year in the US?

Quantitative analysts, or 'quants,' in finance and hedge funds can earn $500,000 or more annually, especially with experience, performance bonuses, and advanced skills in programming, mathematics, and financial modeling. Senior roles in investment banking, private equity, and executive positions in large corporations may also reach or exceed this level of compensation.

What are Quant Swe jobs?

Quant Swe, short for Quantitative Software Engineer, are professionals who develop and maintain software systems used in quantitative finance. They combine expertise in programming, mathematics, and finance to build tools for data analysis, trading algorithms, and risk management. Quant Swe roles often require knowledge of programming languages such as Python, C++, or Java, and familiarity with financial markets and mathematical modeling. These engineers collaborate closely with quantitative analysts and traders to implement models and ensure high-performance computing solutions.

What is the difference between Quant Swe vs Quant Analyst?

AspectQuant SweQuant Analyst
Required CredentialsDegree in Math, CS, or Engineering; often requires programming skillsDegree in Finance, Economics, Math; may require certifications like CFA
Work EnvironmentTechnical, coding-focused, often in tech or finance firmsResearch-driven, financial modeling, client interaction
Employer & Industry UsagePrimarily in hedge funds, prop trading, quant firmsInvestment banks, asset management, hedge funds
Common Search & ComparisonYesYes

Quant Software Engineers focus on developing and maintaining trading algorithms and systems, emphasizing programming and technical skills. Quant Analysts analyze financial data, develop models, and support trading strategies. While both roles require strong quantitative skills, Quant Swe are more technical and coding-oriented, whereas Quant Analysts focus on financial analysis and modeling.

Can a swe become a quant?

Software engineers (SWE) can transition into quantitative roles by developing strong programming skills, especially in languages like Python or C++, and gaining knowledge of finance, statistics, and mathematical modeling. Many quants have backgrounds in computer science, engineering, or mathematics, and often pursue additional certifications or training in finance or data analysis. Transitioning typically involves acquiring domain-specific knowledge and experience in financial markets or risk modeling.

What jobs make $1,000,000 a year?

Quantitative traders, hedge fund managers, and senior investment professionals in finance often earn $1,000,000 or more annually through bonuses, commissions, and profit sharing. These roles typically require advanced degrees, strong analytical skills, and experience with financial modeling, programming, and risk management. High earnings are usually associated with performance-based compensation in competitive financial environments.

What engineer makes $500,000 a year?

Quantitative analysts, or quants, in hedge funds and investment banks can earn $500,000 or more annually, especially with experience, performance bonuses, and advanced skills in mathematics, programming, and finance. Senior quant roles often require strong backgrounds in computer science, statistics, and financial modeling, along with proficiency in tools like Python, C++, and MATLAB.
More about Quant Swe jobs
What cities are hiring for Quant Swe jobs? Cities with the most Quant Swe job openings:
What states have the most Quant Swe jobs? States with the most job openings for Quant Swe jobs include:

Quantitative Developer - Prediction Markets - eFinancialCareers

eFinancialCareers

Chicago, IL

Full-time

Posted 3 days ago


Job description

Summary

A Chicago-based prediction markets firm, actively trading on leading venues such as Kalshi and Polymarket, is seeking a Quantitative Developer to sit at the intersection of engineering, data, and trading. This role will focus on building and maintaining the quantitative infrastructure that supports market making, pricing, and trading decisions. The ideal candidate brings a strong Python skillset, a rigorous mathematical foundation, and prior experience in a trading or similarly quantitative environment.

Responsibilities

  • Design, build, and maintain quantitative tools and systems that support trading, pricing, and risk management
  • Act as a technical bridge between the trading desk, data team, and core engineering group to translate ideas into production-ready solutions
  • Develop and optimize data pipelines, models, and analytics used in real-time and research workflows
  • Partner with traders to implement and iterate on strategies, market insights, and performance monitoring tools

Qualifications

  • 2+ Year of experience in either a Quant Dev or market facing SWE role
  • Strong proficiency in Python, with experience writing clean, efficient, and production-quality code
  • Solid background in mathematics, statistics, or a closely related quantitative discipline
  • STEM degree from a highly regarded university (top-25 preferred)
  • Previous experience working with prediction markets is a plus but not a requirement