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Quant Developer Jobs in Washington, DC (NOW HIRING)

Freddie Mac

Quantitative Analytics Professional

Mclean, VA · On-site

$105 - $157/hr

We are the owners and developers of all major Multifamily credit, market risk and business decision models/tools. Our goal is to develop and apply all quantitative models and advanced data science ...

Aktra

AI & Financial Engineering Developer

Mclean, VA · On-site

$180 - $240/hr

... Developer with expertise in AI/ML, financial systems, and enterprise software development. This ... Bachelor's degree preferred (Master's or PhD in a quantitative field is a plus) Key ...

Avani Technology Solutions, Inc.

C++ Developer

Washington, DC · On-site

$55.25 - $74.50/hr

C++ Developer Location : Washington, DC Duration : 6 Months Qualifications: * 5-7 years' experience ... Knowledge in quantitative financial analytics (preferably in mortgage credit risk analytics)

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Quant Developer information

See Washington, DC salary details

$111K

$192.2K

$293.8K

How much do quant developer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quant developer in Washington, DC is $192,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,300.00 and $225,300.00 per year, depending on experience, location, and employer.

What is a quant developer?

A Quant Developer (Quantitative Developer) is a software engineer who builds and maintains financial models, trading systems, and analytical tools for quantitative analysts and traders. They use programming languages like Python, C++, or Java to develop algorithms that automate trading strategies, risk analysis, and data processing. Quant Developers typically work in hedge funds, investment banks, or proprietary trading firms, collaborating with quants and portfolio managers to optimize trading performance. Strong mathematical skills, proficiency in financial markets, and expertise in software development are essential for this role.

What are the key skills and qualifications needed to thrive as a quant developer?

To thrive as a Quant Developer, you need advanced programming skills (often in Python, C++, or Java), a strong foundation in mathematics or statistics, and a relevant degree such as in computer science, engineering, or quantitative finance. Expertise in numerical libraries, version control systems like Git, and familiarity with financial modeling tools or industry data feeds is highly valuable. Collaboration, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills for this role. These capabilities are essential for designing robust quantitative models and working effectively with cross-functional teams in fast-paced financial environments.

What are some typical challenges quant developers face in their daily work?

Quant developers often work with large, complex datasets and real-time data streams, which can present technical challenges related to performance, accuracy, and scalability. They may need to continuously adapt to changing market requirements or new financial regulations, requiring staying up to date and learning new tools or methods. Collaboration with quants, traders, and other stakeholders is common, so balancing technical problem-solving with effective communication is also important. These challenges make the role both demanding and intellectually rewarding for those passionate about technology and finance.

Is a quant developer a good career?

A quant developer is a highly specialized role that involves developing algorithms and models for financial trading and risk management. It typically requires strong programming skills in languages like Python or C++ and a background in mathematics or finance. The role offers high earning potential and demand in financial firms but often involves long hours and high pressure.

What does a quant developer do?

A quant developer designs and implements complex mathematical models and algorithms used for trading, risk management, and investment strategies in financial firms. They typically work with programming languages like Python, C++, or Java and collaborate closely with traders and analysts to develop automated systems. Strong quantitative skills, programming expertise, and knowledge of financial markets are essential for this role.

What are the most commonly searched types of Quant Developer jobs in Washington, DC?

The most popular types of Quant Developer jobs in Washington, DC are:

What are popular job titles related to Quant Developer jobs in Washington, DC?

For Quant Developer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Quant Developer jobs in Washington, DC look for?

The top searched job categories for Quant Developer jobs in Washington, DC are:

Quant Developer jobs near you
Infographic showing various Quant Developer job openings in Washington, DC as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 67% In-person, 8% Hybrid, and 25% Remote job distribution, with an average salary of $192,163 per year, or $92.4 per hour.

Technical Quantitative Analyst

Systems Planning and Analysis

Arlington, VA • On-site

Full-time

Medical, Life, Retirement

Re-posted 15 days ago

Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The Joint, Office of the Secretary of Defense, Interagency Division provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.
SPA provides critical decision support to enabling and executing a strategy of technological superiority and enabling the delivery and sustainment of secure, resilient, and preeminent capabilities to the warfighter quickly and cost effectively. Our team of experienced military, technical, and operations research analysts is skilled in evaluating military problems, identifying the driving factors, devising innovative approaches, collecting applicable data, developing necessary software tools, and performing thorough and timely assessments to inform technology and acquisition governance decisions to ensure U.S. military forces retain military superiority in the future.
We have an immediate need for a Quantitative Analyst SETA to provide onsite support out of Arlington, VA.
Responsibilities
The successful candidate will serve as a Quantitative Analyst SETA supporting DARPA program managers in the development, integration, and scaling of complex adaptive system modelling and data-intensive analytical capabilities. This role involves integrating complex, multi-source intelligence and commercial/open-source data streams into graph-based, network analytical frameworks to support strategic competition analysis, industrial base resilience, and national security decision-making. The candidate will serve as the primary technical liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements. Will also advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy.
Qualifications
Required:
  • Master's degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field
  • Active TS/SCI clearance
  • 5+ years of relevant experience in quantitative economic modeling, advanced econometrics, and network data science/data engineering applied to complex adaptive systems
  • Demonstrated experience in large-scale data processing, multi-source data pipeline integration, and managing structured/unstructured data architectures
  • Practical experience with graph analytics, network modeling tools, and interconnected data architectures (e.g., Python/R quantitative libraries, graph databases, or network science frameworks)
  • Strong background working within or alongside the U.S. Intelligence Community (IC), including familiarity with IC mission environments, data workflows, and intelligence-derived datasets
  • Understanding of diverse data sources across global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources
  • Able to work fully onsite based on client needs
  • Travel to support program operations up to 15% duty factor

Desired:
  • Strong communication skills-both written (including executive PowerPoint briefs) and oral-with the ability to translate complex econometric and data models for senior defense stakeholders
  • Experience with defense industrial base analysis, economic statecraft, strategic competition modeling, or macroeconomic resilience metrics
  • Hands-on experience building decision-support tools, AI/ML-enabled analytical tools, cloud data engineering workflows, or large language model (LLM) research pipelines
  • Experience in high paced private sector quantitative production environment such as systematic investing or trading, real time ad technology development or pharmacological optimization and customization

Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Virginia, Pay Transparency Salary range: USD $160,000.00/Yr. - USD $200,000.00/Yr.

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