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Quantitative Finance Software Engineer Jobs (NOW HIRING)

DTCC

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

At DTCC, we are at the forefront of innovation in the financial markets. We are committed to ... The Impact You Will Have in This Role As a Quantitative Software Engineer , you will play a key ...

DTCC

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$134K - $176K/yr

At DTCC, we are at the forefront of innovation in the financial markets. We are committed to ... The Impact You Will Have in This Role As a Quantitative Software Engineer , you will play a key ...

Point72

Quantitative Software Developer

New York, NY · On-site

... finance. Cubist's data services group is looking for a junior Quantitative Software Developer to ... join our dedicated team. Our group is responsible for the timely delivery of comprehensive and ...

Point72

Quantitative Software Developer

New York, NY

... finance. Cubist's data services group is looking for a junior Quantitative Software Developer to ... join our dedicated team. Our group is responsible for the timely delivery of comprehensive and ...

Compunnel

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

... experience in quantitative finance or trading systems. • Advanced proficiency in KDB+/q ... software engineering practices (Git, testing, modular design). • Hands-on experience in AWS or ...

Jain Global

Quant Developer, Credit

New York, NY

Exposure to cloud-native technologies, enterprise data platforms, and modern software engineering practices. * Understanding of statistical modeling, optimization techniques, and quantitative finance ...

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All JobsQuantitative Finance Software Engineer Jobs

Quantitative Finance Software Engineer information

See salary details

$11K

$129.7K

$198K

How much do quantitative finance software engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for quantitative finance 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 Finance Software Engineer vs Quantitative Analyst?

AspectQuantitative Finance Software EngineerQuantitative Analyst
Primary FocusDeveloping software and algorithms for financial modelsCreating and analyzing financial models and strategies
Skills RequiredProgramming, software development, quantitative methodsMathematics, statistics, financial theory
Work EnvironmentTech teams, software development projects, financial firmsTrading floors, research departments, investment firms
Common CertificationsNone specific, programming certifications beneficialCFA, FRM, CQF

While both roles involve quantitative skills, Quantitative Finance Software Engineers focus on building the tools and software used in finance, whereas Quantitative Analysts primarily develop financial models and strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

Infographic showing various Quantitative Finance Software Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

Senior Quantitative Developer

Purple Drive

Chicago, IL • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview:
Job Title: Senior Quantitative Software Engineer
Location: Chicago, IL (Onsite - Local Candidates Preferred)
Type: Contract
Job Description
We are seeking a Senior Quantitative Software Engineer with strong expertise in software engineering, quantitative research, and financial analytics. The ideal candidate will combine advanced programming skills with deep knowledge of quantitative modeling to support quant research, equity portfolio management, and risk analytics. This role requires hands-on technical leadership, collaboration with quantitative researchers, and the ability to design and deliver scalable, high-quality solutions for a front-office environment.
Key Responsibilities
  • Collaborate with business product owners and quantitative teams to design and deliver technology platforms and solutions for Quant Research.
  • Develop code libraries, tools, and applications to support research-driven investment and analytics processes.
  • Lead and mentor developers to identify and productionize mature prototypes.
  • Design large-scale distributed computing solutions for quantitative analytics and create user-friendly visualizations.
  • Implement standards, processes, and tools for numerical library testing, code quality, and review.
  • Evaluate methods, datasets, and tools to deliver optimal quantitative and technical solutions.
  • Partner with Quants to implement models for investment decision-making.
  • Innovate and improve proprietary models and algorithms with focus on scalability, resiliency, and performance.
  • Conduct code reviews with peers and provide feedback to ensure high-quality deliverables.
Required Qualifications
  • 12+ years of progressive experience in software engineering and quantitative analysis.
  • Advanced degree in Computer Science, Math, or Financial Engineering.
  • Strong experience in Python and PySpark (must-have), with additional proficiency in R, Java, and distributed computing frameworks.
  • Expertise with big data & cloud computation platforms (e.g., Databricks, AWS, Azure).
  • Hands-on experience with PySpark, Pandas, Polars, Cuml for large-scale data analysis.
  • Strong knowledge of statistics, time-series analysis, algorithms, asset pricing theory.
  • Experience building and supporting real-time, batch, and orchestrated architectures.
  • Strong Test-Driven Development mindset.
  • Solid understanding of financial instruments (securities, derivatives) and capital markets.
  • Strong communication skills with ability to explain complex concepts to non-technical stakeholders.
Preferred Skills
  • Prior front-office software development experience in Asset Management, Hedge Funds, or Investment Banking.
  • Experience building containerized applications and deploying on cloud platforms (Azure, AWS).
  • Exposure to web-based visualization technologies for large/complex datasets.

Note: This is an onsite contract role in Chicago, IL - local candidates are strongly preferred.

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