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Quantitative Developer Jobs in Washington (NOW HIRING)

Freddie Mac

Quantitative Analytics Senior

Mclean, VA

$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 ...

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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How much do quantitative developer jobs pay per year?

As of May 31, 2026, the average yearly pay for quantitative developer in Washington is $192,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $152,300.00 and $225,400.00 per year, depending on experience, location, and employer.

What Is a Quantitative Developer?

A quantitative developer is a computer programmer and software engineer who writes code and develops trading infrastructure for investment banks. As a quantitative developer, your job duties include creating and testing financial models and forecasts, validating and documenting the performance of financial models, analyzing performance results, and reporting on the data to traders, financial engineers, and IT support. You need a strong background in scientific computing, an understanding of financial markets, and good communication skills to be an effective quantitative developer.

What are the key skills and qualifications needed to thrive as a Quantitative Developer, and why are they important?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

How does a Quantitative Developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What are Quantitative Developers?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

More about Quantitative Developer jobs
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What job categories do people searching Quantitative Developer jobs in Washington look for? The top searched job categories for Quantitative Developer jobs in Washington are:
What cities in Washington are hiring for Quantitative Developer jobs? Cities in Washington with the most Quantitative Developer job openings:
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Quantitative Developer jobs near you
Cost and Schedule Analysis Engineer

Cost and Schedule Analysis Engineer

Peraton

Annapolis Junction, MD

$86K - $138K/yr

Full-time

Posted 18 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

37th of 203 rated it services

Job description

Responsibilities

Peraton Labs is seeking a quantitative engineer to build the analytical engines that power cost and schedule analysis capabilities within an advanced program management platform. This role translates earned value management principles, schedule analysis methodologies, and financial forecasting techniques into automated, scalable software components that deliver actionable insights to program managers and oversight personnel.

Key Responsibilities

  • Develop EVM analytics engines: CPI, SPI, TCPI, EAC, VAC, and IEAC calculations with trend analysis and forecasting
  • Build IMS parsing and analysis capabilities: critical path identification, float analysis, schedule health metrics, and baseline comparison
  • Implement budget vs. actuals variance analysis with drill-down by WBS element, control account, and organizational structure
  • Develop forecasting models that incorporate both quantitative EVM trends and qualitative signals from unstructured analysis
  • Build schedule risk analysis (SRA) capabilities including Monte Carlo simulation integration
  • Implement data validation and anomaly detection for cost and schedule data inputs
  • Create reusable analytical components that can be invoked through the platform's automation framework
  • Collaborate with PM Domain Analysts to validate analytical accuracy against established standards
Qualifications

Required Qualifications

  • Minimum of 5+ years of experience with a Bachelor's degree, 3+ years with a Master's degree, or a PhD in Engineering, Finance, Mathematics, Statistics, Computer Science, or related field
  • Direct software engineering experience with a focus on quantitative analysis or financial modeling
  • Strong Python proficiency; experience with numerical computing libraries (NumPy, pandas, SciPy)
  • Understanding of earned value management principles and metrics
  • Experience with schedule analysis concepts (critical path method, float, schedule compression)
  • Familiarity with statistical forecasting and time series analysis
  • Experience with data validation and quality assurance for analytical systems
  • Strong mathematical and analytical reasoning skills
  • US Citizenship with the ability to obtain/maintain a Secret clearance

Preferred Qualifications

  • Direct experience with EVM systems or defense cost reporting
  • Experience with Monte Carlo simulation (Crystal Ball, @Risk, or custom implementations)
  • Familiarity with IMS data formats (Microsoft Project XML, Primavera XER/XML)
  • Knowledge of IPMDAR/IPMR data elements and reporting requirements
  • Experience with financial modeling or cost estimation
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

What Peraton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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