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Quantitative Jobs in Washington (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 ...

Wsgr

Transactional Quantitative Analyst

Washington, DC · On-site +1

$63.34 - $85.70/hr

The Transactional Quantitative Analyst will handle analytical projects to assist in structuring and optimizing client deals. This role can be hybrid or fully virtual. Candidates with substantial ...

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Quantitative information

See Washington salary details

$35.1K

$102.6K

$165.4K

How much do quantitative jobs pay per year?

As of May 31, 2026, the average yearly pay for quantitative in Washington is $102,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,600.00 and $134,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Quantitative Analyst, you need strong mathematical, statistical, and analytical skills, usually supported by a degree in mathematics, finance, engineering, or a related field. Proficiency with programming languages like Python or R, experience with data analysis tools, and familiarity with financial modeling platforms are typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help individuals excel in this role. These competencies are crucial for developing accurate models, interpreting complex data, and driving data-driven decisions in finance and business.

What are some common challenges faced by quantitative analysts when working with large datasets in finance?

Quantitative analysts often deal with vast and complex datasets, which can present challenges such as data quality issues, integration of disparate data sources, and ensuring computational efficiency. Successfully cleaning and validating data is essential to produce reliable models. Additionally, quant analysts must stay updated with the latest programming tools and statistical techniques to optimize data processing and derive meaningful insights, often collaborating closely with IT and software engineering teams to implement scalable solutions.

What are Quantitative jobs?

Quantitative jobs, often referred to as 'Quant' roles, involve the application of mathematical, statistical, and computational techniques to analyze data and solve complex problems, particularly in finance, investment banking, and technology sectors. Professionals in these roles develop and implement models to inform trading strategies, manage risk, or optimize investment portfolios. Quants typically have strong backgrounds in mathematics, statistics, computer science, or engineering and use programming languages such as Python, R, or C++. These positions are highly analytical and require a deep understanding of financial markets, data analysis, and quantitative modeling.

What is the difference between Quantitative vs Quantitative Analyst?

AspectQuantitativeQuantitative Analyst
Required CredentialsMathematics, statistics, or related degreesMathematics, statistics, or finance certifications
Work EnvironmentResearch, data analysis, modelingFinancial firms, investment banks, hedge funds
Industry UsageBroadly used in finance, tech, researchPrimarily in finance and investment sectors
Common Search IntentGeneral quantitative rolesSpecific finance-focused roles

Quantitative refers broadly to roles involving mathematical and statistical analysis across various industries. A Quantitative Analyst, however, is a specialized role within finance that applies quantitative methods to develop trading strategies, risk management, and financial modeling. While both share similar credentials and work environments, the analyst role is more industry-specific, focusing on financial markets and investment decision-making.

What are the most commonly searched types of Quantitative jobs in Washington? The most popular types of Quantitative jobs in Washington are:
What cities in Washington are hiring for Quantitative jobs? Cities in Washington with the most Quantitative job openings:
Quantitative jobs near you
Infographic showing various Quantitative job openings in Washington as of May 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $102,590 per year, or $49.3 per hour.

Quantitative Analyst

Amicis Global

Washington, DC • On-site

Contractor

Posted 15 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.