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Quant Developer Jobs in Washington, DC (NOW HIRING)

Job Title: Quantitative Analyst Location: Onsite, Washington, DC (1100 15th Street NW) Schedule ... The ideal candidate has a strong background in capital markets products , advanced programming ...

Python developer

Mclean, VA ยท On-site

$51.50 - $71/hr

Python Developer Python programming experience Statistics, Economics, Business, Mathematics, Computer Science Strong quantitative, statistical analytical experience Required Skills : Basic ...

C++ Developer

Washington, DC ยท 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)

Sr. Python Developer

Mclean, VA ยท On-site

$51.50 - $71/hr

Python Developer Location: Must be onsite in McLean, VA. Hybrid - 3+ days per week. Extension ... Minimum Requirements: BS in Computer Science or any quantitative field. 3+ years in python.

Sr. Python Developer

Mclean, VA ยท On-site

$124K - $167K/yr

Work with finance team and other developers to facilitate the reconciliation * Help customers to ... Quantitative Finance (Optional)

Sr. Python Developer

Mclean, VA ยท On-site

$123K - $166K/yr

Work with finance team and other developers to facilitate the reconciliation * Help customers to ... Quantitative Finance (Optional)

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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 Jun 27, 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.

How much do quant devs make?

Quant developers typically earn between $100,000 and $200,000 annually, with experienced professionals and those at top firms earning over $300,000 including bonuses. Compensation often depends on experience, location, and the complexity of the models they develop, with many roles requiring strong programming skills in languages like Python or C++ and knowledge of financial markets.

What is a Quant Developer job?

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.

Does JP Morgan hire quants?

JP Morgan actively hires quantitative analysts and developers for roles in trading, risk management, and technology. These positions typically require strong programming skills, knowledge of financial models, and often a background in mathematics or engineering. The firm offers opportunities for quants across various teams and locations, with competitive hiring standards and onboarding processes.

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 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++, along with 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 are the key skills and qualifications needed to thrive in the Quant Developer position, and why are they important?

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.

Is 30 too late to become a quant?

Quantitative analyst roles typically require strong backgrounds in mathematics, programming, and finance, often gained through advanced degrees or relevant experience. While starting a career at 30 is possible, it may require additional training or certifications such as a master's in financial engineering or programming skills in Python or C++. Age is less important than skills, experience, and the ability to adapt to a fast-paced, technical environment.
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:
Infographic showing various Quant Developer job openings in Washington, DC as of June 2026, with employment types broken down into 14% Internship, 58% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $192,163 per year, or $92.4 per hour.

Quantitative Analyst

Amicis Global

Washington, DC โ€ข On-site

Contractor

Posted 12 days ago


Job description

Job Title:ย ย Quantitative Analyst
Location:ย Onsite, Washington, DC (1100 15th Street NW)
Schedule:ย Full-time, 40 hours per week (8 hours per day)
Duration:ย 12-month contract (with possible extension)
ย 

Senior Analyst โ€“ Financial and IT Modeling & Analytics

Position Overview:

We are seeking a highly skilledย Quantitative Analyst and Testerย to join the Financial and IT Modeling & Analytics team. This role will support capital markets trading and market risk management by translating business requirements into technical specifications and executing rigorous testing for statistical modeling and analytical applications.

The ideal candidate has a strong background inย capital markets products, advanced programming expertise, and the ability to thrive in an Agile environment.

Key Responsibilities:
  • Translate complex business requirements from trading and market risk management into clear system specifications and testing needs.

  • Design, develop, and execute test cases for statistical modeling and analytical software applications.

  • Collaborate closely with quantitative engineers to investigate and resolve test case failures.

  • Track project progress and report updates using Agile methodologies and tools.

Required Skills & Experience:
  • 5+ years of professional experience in financial modeling, IT analytics, or quantitative testing.

  • Strong programming proficiency inย Python.

  • Hands-on experience withย C++.

  • Solid knowledge ofย capital markets productsย (trading, risk management, derivatives, etc.).

  • Ability to work effectively in a collaborative, Agile environment.