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Quant Developer Jobs in Washington, DC (NOW HIRING)

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Position Overview: Freddie Mac's Single Family Division is currently seeking an Quantitative ... Proficiency in one or more programming languages such as Python, R, C++, SQL, or SAS * Ability to ...

Prescient Edge

Senior Software Developer

Bethesda, MD · On-site

$58.25 - $77/hr

Master's degree in a quantitative field such as engineering or mathematics (e.g. Electrical Engineering, Computer Engineering, Computer Science, Information Technology, or Information Systems ...

Prescient Edge

Senior Software Developer

Bethesda, MD · On-site

$58.25 - $77/hr

Master's degree in a quantitative field such as engineering or mathematics (e.g. Electrical Engineering, Computer Engineering, Computer Science, Information Technology, or Information Systems ...

System One

Be Seen First

Data Developer

Washington, DC · On-site

$70K - $120K/yr

Data Analyst/Developer Arlington, Virginia Onsite Must be clearable Responsibilities * Support the ... Bachelor's degree in a technological or quantitative discipline from an accredited college ...

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All JobsQuant Developer JobsQuant Developer Jobs in Washington, DC

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:
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Quant Developer jobs near you
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.

Analyst - Valuations & Business Intelligence Reporting

AGNC Mortgage Management, LLC

Bethesda, MD • On-site

Full-time

Posted 13 days ago

Job description

Overview
We are seeking a technically driven Analyst to join our Valuations & Business Intelligence Reporting team at AGNC. This is a quantitative, engineering-forward role for someone who thrives at the intersection of software development and financial markets.
In this role, you will help value AGNC's asset and liability portfolios by applying fixed-income models and financial market knowledge to business and financial data. You will also leverage advanced business intelligence tools and techniques to support reporting, analytics, and data-driven insights. In addition, this role will support the execution of our agency MBS prepayment forecasting process and related analyses. You will own the end-to-end data pipelines that drive daily fair-value pricing and prepayments across our MBS, debt, and derivatives portfolios. This includes but is not limited to fetching raw data via APIs and data warehouses through finalized Parquet outputs that power our dashboards and reports.
This is an excellent opportunity for a junior software engineer eager to apply their technical foundation in a sophisticated financial environment and grow into a subject matter expert on fixed income valuation. No prior finance experience is required; we will teach you the business. What we need is someone who writes clean, production-quality Python code and has a genuine curiosity about fixed income markets and how they operate.
Responsibilities
Valuation & Pricing
  • Execute and monitor daily fair-value pricing for the Company's securities, debt, and derivatives portfolios for use by the Trade Desk, Risk Management, and Financial Reporting.
  • Maintain valuation methodologies for mortgage-backed securities, other mortgage-related investments, and derivatives portfolios.
  • Analyze prepayment forecasts from third-party models for reasonableness and incorporation into risk analytics and accounting forecasts.
  • Conduct financial analysis and forecasting including interest rate/spread shock scenarios and sensitivity analysis.
  • Discuss markets and fixed income concepts and trends with internal participants, including Trade Desk, Middle Office, and Financial Reporting.

Data Engineering & Automation
  • Build, maintain, and improve Python-based data pipelines that ingest data from external APIs, internal data warehouses, pricing services, and proprietary file sources.
  • Produce and validate finalized Parquet data files that serve as the foundation for Power BI reporting dashboards.
  • Automate and optimize recurring daily, monthly, and quarterly valuation and reporting processes.
  • Implement robust data quality checks and exception handling within pipeline workflows.

Reporting & Analysis
  • Generate daily, monthly, and quarterly reporting packages for internal stakeholders (Trade Desk, Middle Office, Risk Management) and external/regulatory reporting.
  • Identify, monitor, and report on pricing developments and trends.
  • Maintain market intelligence through market research and frequent interaction with AGNC's trading desk, pricing services, and other third-party vendors.

Controls & Compliance
  • Maintain effective internal controls over financial reporting pursuant to SEC and other regulatory reporting requirements.
  • Interface with internal and external auditors on valuation and prepayment-related matters.
  • Complete special projects requiring financial services valuation expertise.

Qualifications
Minimum Requirements
  • This role is hybrid in our office in Bethesda, MD
  • 1+ year of relevant software engineering or data engineering experience.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • Strong Python proficiency, including experience with data engineering patterns: API consumption, file I/O, data transformation, and pipeline orchestration.
  • Working knowledge of SQL for querying relational databases and data warehouses.
  • Familiarity with columnar data formats (e.g., Parquet) and business intelligence tools such as Power BI.
  • Strong analytical and problem-solving skills with high attention to detail.
  • Genuine interest in learning fixed income markets, mortgage products, and financial valuation concepts.

Preferred Qualifications
  • Experience in financial services, fintech, or a quantitative research environment.
  • Strong understanding of mortgage-backed securities, agency to-be-announced ("TBA") securities, and interest rate derivative products.
  • Excellent analytical skills and ability to understand complex financial concepts such as DCFs, OAS, Duration, Convexity, spreads, valuations, etc.
  • Master's degree in Finance, Financial Engineering, Computer Science, Mathematics, or a related discipline.
  • CFA, CQF, FRM, or active progress toward either designation.
  • Experience with Bloomberg's Terminal and excel API.
  • Familiarity with mortgage prepayment models.
  • Knowledge of cloud data warehouse environments.

PERSONAL PROFILE
  • Intellectually curious and excited to learn new domains and go deep on complex problems.
  • Ownership mindset: takes initiative, follows through without requiring close supervision.
  • Clear communicator who can translate technical findings into business-relevant insights for non-technical stakeholders.
  • Collaborative and collegial; comfortable working across trade desk, risk, middle office, and finance functions.
  • Comfortable in a fast-moving environment where processes are actively evolving and there is room to improve the tooling.

Apply