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Quant Data Engineer Jobs (NOW HIRING)

We are seeking an experienced Senior Quant Developer to join a growing Risk Technology team ... Additional Information Why Join Data Intellect? * Hybrid & flexible working - balance your time ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... quantitative modeling, machine learning, and engineering shape how modern markets are traded. A ...

Data Engineer

Champaign, IL · On-site

$125/hr

Bachelor's degree in Computer Science, Engineering, Mathematics, or another quantitative discipline. * Strong experience designing and building scalable, data-intensive applications and pipelines.

Data Engineer

Ankeny, IA · On-site

$108K - $130K/yr

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or other relevant quantitative field * Three to five years of experience in data engineering, ETL/ELT development, or a ...

We are seeking an experienced Senior Quant Developer to join a growing Risk Technology team ... Additional Information Why Join Data Intellect? * Hybrid & flexible working - balance your time ...

We are seeking an experienced Senior Quant Developer to join a growing Risk Technology team ... Additional Information Why Join Data Intellect? * Hybrid & flexible working - balance your time ...

Data Engineer

Washington, DC

$129K - $155K/yr

The Data Engineer will work as part of a multidisciplinary team integrating data engineering ... and quantitative communication methods. * Develop and contribute reusable analysis templates ...

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Job Summary : PeopleSERVE, Inc. is seeking a Data Engineer to enhance data availability and ... quantitative techniques and methods, statistics, econometrics - including probability, linear ...

Data Engineer

Washington, DC

$129K - $155K/yr

The Data Engineer will work as part of a multidisciplinary team integrating data engineering ... and quantitative communication methods. * Develop and contribute reusable analysis templates ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The Data Engineer supports the J5 data infrastructure underpinning all of these functions, building ... Master's degree or higher in Data Science, Computer Science, Statistics, or a related quantitative ...

Data Engineer II

Washington, DC · On-site

$129K - $155K/yr

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field * 3+ years of experience designing, building, and ...

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

Bachelor's degree in computer science, Data Engineering, Information Systems, or a related quantitative field. * Job Requirementse design. * Proficiency in SQL for data transformation, validation ...

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

Bachelor's degree in computer science, Data Engineering, Information Systems, or a related quantitative field. * Job Requirementse design. * Proficiency in SQL for data transformation, validation ...

Data Engineer II

Rosslyn, VA · On-site

$130K - $156K/yr

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field * 3+ years of experience designing, building, and ...

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

... quantitative field • Minimum of ten (10) years of IT experience, including at least six (6) years ... data engineering or related disciplines • Strong experience designing and optimizing data ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers ...

Data Engineer II

Richmond, VA · On-site

$113K - $136K/yr

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field * 3+ years of experience designing, building, and ...

Showing results 41-60

Quant Data Engineer information

See salary details

$11K

$129.7K

$198K

How much do quant data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for quant data 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 are popular job titles related to Quant Data Engineer jobs?

For Quant Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Quant Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

Full-time

Posted 6 days ago


Job description

Company Description

Join the world's largest kdb+ Consultancy where you'll work with some of the biggest names in Capital Markets and continue to elevate your expertise solving complex challenges in an environment built on collaboration, knowledge sharing and continuous learning.

Job Description

We are seeking an experienced Senior Quant Developer to join a growing Risk Technology team responsible for modernising and enhancing a critical risk management platform. The team is focused on expanding analytical capabilities, improving system stability and delivering sophisticated risk and portfolio analytics used across the business.

This is an excellent opportunity for a quantitative professional who enjoys developing practical analytical solutions to complex capital markets challenges while working closely with engineering teams to bring those solutions into production.

Key Responsibilities

  • Design, develop, and implement quantitative models and analytics used within risk management and portfolio valuation systems.
  • Build sophisticated risk, hedging, and portfolio optimisation tools, including analytics related to position management, hedge effectiveness, and optimal hedge sizing.
  • Work closely with Core Engineering teams to integrate quantitative models into scalable production platforms.
  • Contribute to the modernisation of the firm's risk technology architecture and analytical capabilities.
  • Translate business requirements into robust quantitative solutions.
  • Validate and enhance existing risk methodologies, ensuring accuracy, performance, and practical applicability.
  • Support the evolution of risk metrics and portfolio analytics across multiple asset classes.
  • Collaborate with stakeholders across Risk, Technology, and Front Office functions.

The successful candidate will be a senior quantitative professional who combines strong mathematical expertise with practical experience solving real-world capital markets problems. You will be comfortable working alongside software engineers, contributing quantitative insight while helping shape the next generation of risk technology capabilities.

You will have a track record of delivering impactful analytics in production environments and be able to quickly contribute to the ongoing transformation of a critical enterprise risk platform.

Qualifications
  • Advanced degree (Master's or PhD preferred) in a quantitative discipline such as:
    • Financial Mathematics
    • Quantitative Finance
    • Mathematics
    • Statistics
    • Physics
    • Engineering
  • Strong analytical and mathematical background with proven experience developing quantitative models.
  • Significant industry experience within capital markets, risk management, quantitative research or quantitative development.
  • Deep understanding of risk analytics, portfolio valuation and hedging methodologies.
  • Ability to design and build models independently from concept through implementation.
  • Strong communication skills and ability to collaborate effectively with both quantitative and engineering teams.
  • Experience delivering business value quickly within complex financial environments.

Technical Skills

  • C# preferred.
  • Strong Java or C++ candidates will also be considered.
  • Sufficient programming ability to implement and maintain quantitative models in production environments.
  • Experience working with large-scale financial systems is advantageous.
Additional Information

Why Join Data Intellect?

  • Hybrid & flexible working - balance your time between home and our global offices.
  • Global opportunities - work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond.
  • Continuous learning - day one access to paid training, certifications and leadership development.
  • Clear progression pathways - biannual promotion cycles and monthly 1:1s to excel your career growth and development.
  • Healthcare & wellbeing - provider dependent on region.
  • Flexible, increasing holiday allowance - option to work bank holidays providing greater flexibility in holiday usage
  • Generous referral bonuses, exciting social events and so much more - we work hard and celebrate harder.

Data Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk and analytics for some of the world's most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We're growing, fast!

Fair Employment & Equal Opportunities

We're proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.

Challenge Accepted. Apply now.