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Quantitative Associate Jobs in Washington (NOW HIRING)

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Quantitative Associate information

See Washington salary details

$35.1K

$102.6K

$165.4K

How much do quantitative associate jobs pay per year?

As of Aug 21, 2026, the average yearly pay for quantitative associate 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 is a quantitative associate?

Quantitative Associates are professionals who use mathematical, statistical, and computational techniques to analyze financial data and develop models for decision-making in fields such as banking, investment, and risk management. They often support senior quantitative analysts or traders by implementing algorithms, conducting data analysis, and providing insights to improve business strategies. These roles typically require strong skills in programming, mathematics, and finance, and are commonly found in investment banks, hedge funds, and financial technology firms.

How does a quantitative associate typically collaborate with traders and technology teams in a financial firm?

Quantitative Associates often work closely with traders to understand their strategies and provide data-driven insights that improve trading outcomes. They also collaborate with technology teams to implement models into production systems, ensuring that algorithms are both effective and efficient. This cross-functional teamwork requires strong communication skills and a willingness to learn from professionals in different disciplines. Regular meetings, joint problem-solving sessions, and collaborative project management tools are commonly used to keep everyone aligned and drive successful outcomes.

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

To thrive as a Quantitative Associate, you need strong quantitative analysis skills, advanced knowledge of mathematics and statistics, and typically a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency in programming languages like Python or R, data analysis tools, and experience with financial modeling platforms are commonly required. Attention to detail, problem-solving abilities, and effective communication help you translate complex data insights into actionable business strategies. These skills are critical for developing accurate models, managing risk, and supporting data-driven decision-making in financial environments.

What is the difference between Quantitative Associate vs Quantitative Analyst?

AspectQuantitative AssociateQuantitative Analyst
Required CredentialsTypically a master's degree in finance, mathematics, or related field; strong programming skillsSimilar educational background; often requires advanced quantitative skills and certifications
Work EnvironmentFinancial firms, hedge funds, asset management; collaborative teamsSame as Quantitative Associate; focused on model development and data analysis
Employer & Industry UsageCommon in investment banks, hedge funds, asset managersUsed interchangeably in many firms; both roles involve quantitative modeling
Search & Comparison IntentHigh overlap; both roles involve quantitative analysis and modeling

Both Quantitative Associates and Quantitative Analysts work in similar environments, requiring advanced degrees and strong analytical skills. The roles often overlap in responsibilities, focusing on developing models, analyzing data, and supporting trading or investment decisions. The main difference may lie in job titles used by different firms, but their core functions are quite comparable.

What are the most commonly searched types of Quantitative jobs in Washington?

The most popular types of Quantitative jobs in Washington are:

What are popular job titles related to Quantitative Associate jobs in Washington?

For Quantitative Associate jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Quantitative Associate jobs in Washington look for?

The top searched job categories for Quantitative Associate jobs in Washington are:

What cities in Washington are hiring for Quantitative Associate jobs?

Cities in Washington with the most Quantitative Associate job openings:

Quantitative Associate jobs near you
Infographic showing various Quantitative Associate job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 23% Part Time, 3% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $102,590 per year, or $49.3 per hour.

Principal Associate, Data Scientist - People Strategy & Analytics

Capital One National Association

Mclean, VA • On-site

$161.80 - $184.60/hr

Other

Posted 10 days ago

Job description

Principal Associate, Data Scientist - People Strategy & Analytics

Data is at the center of everything we do. As a startup, we disrupted the credit card industry with personalized offers using statistical modeling and relational databases. Fast forward, and this innovation has made us a Fortune 200 company and a leader in data‑driven decision making.

People Strategy & Analytics brings data, analytics, and insights to shape critical talent decisions and strategy. The team works closely with HR partners and senior executives to shape talent policy, automate real‑time data, and improve decision‑making.

Role Description

As a Data Scientist on this team, you’ll be at the leading edge of applying analytics to talent, combining AI, machine learning, and social science to build models that understand associate behavior, improve HR efficiency, and inform strategies.

In this role, you will:
  • Build natural language processing and machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
  • Apply expertise in using open‑source large language models (LLMs) through prompt engineering, retrieval‑augmented generation (RAG), and evaluation metric frameworks for business‑specific applications.
  • Partner with a cross‑functional team of data scientists, software engineers, business analysts, and product managers to deliver industry‑leading HR tools and AI‑powered products.
  • Leverage a broad stack of technologies—Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, PyTorch/TensorFlow, and more—to reveal insights hidden within large volumes of numeric and textual data.
  • Collaborate with internal stakeholders, translating complex data science work into tangible, aligned business outcomes.
The Ideal Candidate is:
  • Passionate about human capital and excited by the value you can add to the company and its associates.
  • Innovative, continually researching and evaluating emerging technologies and applications.
  • Creative, adept at bringing definition to big, undefined problems and asking hard questions.
  • Technical, comfortable with open‑source languages and passionate about developing data science solutions using open‑source tools and cloud platforms.
  • Statistically minded, with experience building, validating, and backtesting models; comfortable interpreting a confusion matrix or ROC curve; and familiar with clustering, classification, sentiment analysis, time series, and deep learning.
Basic Qualifications
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
    • A Bachelor’s Degree in a quantitative field plus 5 years of experience performing data analytics.
    • A Master’s Degree in a quantitative field plus 3 years of experience performing data analytics.
    • A PhD in a quantitative field.
Preferred Qualifications
  • Master’s Degree in STEM plus 3 years of experience in data analytics, or PhD in STEM.
  • At least 1 year of experience working with AWS.
  • At least 3 years’ experience in Python.
  • At least 3 years’ experience with machine learning.
  • At least 3 years’ experience with SQL.
  • At least 2 years’ experience with relational databases such as Snowflake.
  • At least 2 years’ experience with AI/ML tools and ecosystems such as Hugging Face, VectorDBs, or PyTorch/TensorFlow.

Capital One will consider sponsoring a qualified applicant for employment authorization for this position.

Salary for this role is $161,800 – $184,600 for Principal Associate, Data Science in McLean, VA. Compensation may include performance‑based incentives such as cash bonuses and long‑term incentives.

Capital One is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in accordance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.

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