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Graduate Quant Trader Jobs in Washington (NOW HIRING)

Mindlance

Data Scientist Specialist

Mclean, VA · On-site

Candidate must have a quantitative degree- master's degree required but Doctorate is preferred ... Providing analytics support for trading and hedging activities. * Working under limited direction ...

LSG

Intern - Research & Insights

Washington, DC · On-site

$23/hr

... trade associations and issue advocacy organizations. * Contributing to qualitative research ... Assisting on quantitative research projects by proofreading and editing surveys, analyzing data ...

KBR

Joint Force Operations Planner

Alexandria, VA · On-site

A critical function of this position will be to establish a clear framework for quantitative ... Graduate of an Advanced Warfare Planning School * Graduate of SAMS, SAW, JAWS, MAWS, or SAAS.

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Graduate Quant Trader information

See Washington salary details

$111K

$192.2K

$293.9K

How much do graduate quant trader jobs pay per year?

As of Aug 6, 2026, the average yearly pay for graduate quant trader 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 are the key skills and qualifications needed to thrive as a graduate quant trader, and why are they important?

To thrive as a Graduate Quant Trader, you need strong quantitative and analytical skills, a background in mathematics, statistics, or a related field, and often a relevant degree. Proficiency with programming languages such as Python, C++, or R, experience with statistical modeling tools, and familiarity with trading platforms are typically required. Exceptional problem-solving ability, attention to detail, and effective communication set top candidates apart. These skills are crucial for developing, testing, and executing trading strategies in fast-moving financial markets.

What are some common challenges faced by graduate quant traders during the first year on the job?

Graduate Quant Traders often encounter a steep learning curve in their first year, as they adapt to fast-paced environments and complex trading systems. Balancing the need to develop robust quantitative models while responding quickly to market changes can be demanding. Additionally, new traders must learn to collaborate effectively with senior traders, analysts, and developers, often needing to communicate their ideas clearly and incorporate feedback. Time management and the ability to handle high-pressure situations are also key challenges as they transition from academic settings to real-time trading floors.

What is a graduate quant trader?

Graduate Quant Traders are entry-level professionals who use quantitative analysis, mathematical models, and programming to develop and execute trading strategies for financial markets. They typically join investment banks, hedge funds, or proprietary trading firms after completing a degree in mathematics, physics, computer science, engineering, or a related field. These roles involve analyzing large datasets, building algorithms, and making real-time trading decisions to generate profits while managing risks. Graduate Quant Traders often work closely with senior traders and researchers to learn industry best practices and refine their skills. The job requires strong analytical abilities, programming skills (often in Python, C++, or R), and a keen interest in financial markets.

What is the difference between Graduate Quant Trader vs Quant Analyst?

AspectGraduate Quant TraderQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often some programming skillsSimilar credentials; strong quantitative background; programming skills beneficial
Work EnvironmentFast-paced trading firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Employer & Industry UsageUsed in trading desks to develop and implement trading strategiesUsed to analyze markets, develop models, and inform trading decisions

The main difference is that Graduate Quant Traders focus on executing trading strategies in live markets, often working directly with trading desks, while Quant Analysts primarily develop models and analyze data to support trading decisions. Both roles require strong quantitative skills and programming knowledge, but their day-to-day tasks and focus areas differ.

What are popular job titles related to Graduate Quant Trader jobs in Washington? For Graduate Quant Trader jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Graduate Quant Trader jobs in Washington look for? The top searched job categories for Graduate Quant Trader jobs in Washington are:
Graduate Quant Trader jobs near you

Data Scientist Specialist

Mindlance

Mclean, VA • On-site

Other

Re-posted 8 days ago

Job description

Title: Data Scientist Specialist

Duration: 6 Months – Potential Contract to hire

Location: McLean, VA 22102

 

Full Onsite: M-F

 

Must Have Qualifications:

10+ years of experience with modelling- with at least 3-5 years of experience model testing and model development.

Candidate must have a quantitative degree- master’s degree required but Doctorate is preferred.

 

 

Position Overview:

Client is seeking a Quantitative Analytics Tech Lead to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management. The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products.

 

Our Impact:

The Modeling and Analytics group in Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes.

 

Your Impact:

The successful candidate will contribute to the development of mortgage valuation model and conduct portfolio analysis to support trading and hedging activities.

 

Your Work Falls Into Four Primary Categories:

Model Development and Research

  • Developing mortgage prepayment, default and severity models that assess market risk of mortgages, mortgage backed securities, and senior-sub structured products
  • Applying statistical modeling and big data analytics tools and developing innovative solutions for forecasting mortgage borrower behavior
  • Conducting research on industry models, market conditions, and regulatory environment.

 

Portfolio Analysis

  • Developing and enhancing valuation processes and risk metrics for our retained portfolio of mortgage products.
  • Conducting sensitivity analysis and impact assessment for model updates and changes in model inputs.

 

Model Governance

  • Preparing model documentation and conducting thorough model validation tests.
  • Developing on-going performance monitoring and threshold methodology.

 

Business Support

  • Providing analytics support for trading and hedging activities.
  • Working under limited direction, independently determining and developing approach to solutions.

 

Qualifications:

  • Doctorate degree plus 3 years of working experience (or Master''''''''s degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field.
  • 5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.
  • Post-graduate work experience in mortgage valuation and statistical modeling
  • Programming skills in one or more of Python, R, SAS or related languages
  • Exceptional quantitative, empirical analysis, and research skills
  • Experience working with large data sets and relational database
  • Experience in statistical model development and implementation is preferred

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

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About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999

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