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Quant Jobs in Washington, DC (NOW HIRING)

Amicis Global

Quantitative Analyst

Washington, DC · On-site

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

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$192.2K

$293.8K

How much do quant jobs pay per year?

As of Aug 4, 2026, the average yearly pay for quant 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 does a quant do?

Quant refers to a quantitative analyst whose responsibilities are to research and analyze market trends in finance. As a quant, you research and decipher statistics and design financial models to help banks, insurance companies, and other finance-focused organizations assess and prevent their risk, make sound investments, and better understand pricing structures to increase profit. Your duties also include creating codes for programs that follow financial trends and patterns, recording data and analyses, and consulting with business leaders in an organization to offer suggestions to combat potential financial risks. Large financial institutions and firms with trading processes typically hire quants.

What is a quant?

Quants, short for quantitative analysts, are professionals who use mathematical models, statistics, and computational techniques to analyze financial data and develop trading strategies. They are typically employed by investment banks, hedge funds, asset management firms, and financial technology companies. Quants play a crucial role in pricing securities, managing risk, and optimizing portfolios. Their expertise is essential for making data-driven decisions in complex financial markets.

What are some common challenges faced by quants when collaborating with software developers and traders?

Quants often encounter challenges in bridging the gap between theoretical models and practical implementation. Effective communication is essential, as translating complex quantitative concepts into actionable trading strategies requires close collaboration with both software developers and traders. Misunderstandings can occur due to differences in technical language or priorities, so fostering a collaborative environment and being open to feedback is crucial. Regular meetings and clear documentation can help ensure that models are accurately implemented and aligned with trading objectives.

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

To thrive as a Quant, you need strong quantitative and analytical skills, typically supported by advanced degrees in mathematics, statistics, physics, or related fields. Proficiency with programming languages like Python or C++, financial modeling, and familiarity with tools such as MATLAB or R are essential, along with knowledge of financial markets. Exceptional problem-solving, attention to detail, and effective communication help Quants stand out in collaborative and high-stakes environments. These skills enable Quants to develop robust models and strategies that drive critical decision-making and risk management in finance.

What is the difference between Quant vs Data Analyst?

AspectQuantData Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires advanced degreesBachelor's in Statistics, Economics, or related field; sometimes requires certifications
Work EnvironmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, market research
Employer & Industry UsagePrimarily in finance and tradingAcross various industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding quantitative roles in financeExploring data analysis careers

While both Quant and Data Analyst roles involve working with data, Quants focus on developing complex models for trading and risk management in finance, often requiring advanced degrees and specialized skills. Data Analysts typically interpret data to inform business decisions across industries, with a broader scope and different tools. The roles overlap in data handling but differ significantly in application and industry focus.

Do quants get paid well?

Quantitative analysts, or quants, typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base pay, bonuses, and profit-sharing, reflecting the demand for their expertise in trading, risk management, and financial modeling.
More about Quant jobs
What are the most commonly searched types of Quant jobs in Washington, DC? The most popular types of Quant jobs in Washington, DC are:
What are popular job titles related to Quant jobs in Washington, DC? For Quant jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Quant jobs in Washington, DC look for? The top searched job categories for Quant jobs in Washington, DC are:
Quant jobs near you
Infographic showing various Quant job openings in Washington, DC as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $192,163 per year, or $92.4 per hour.

Quantitative Analyst

Amicis Global

Washington, DC • On-site

Contractor

Re-posted 21 days ago

Job description

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

Senior Analyst – Financial and IT Modeling & Analytics

Position Overview:

We are seeking a highly skilled Quantitative Analyst and Tester 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 in 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 in Python.

  • Hands-on experience with C++.

  • Solid knowledge of capital markets products (trading, risk management, derivatives, etc.).

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