1

Graduate Quant Jobs in Washington, DC (NOW HIRING)

The ideal candidate has experience working directly with youth, conducting quantitative and ... Graduate coursework focused on education, public policy, psychology, or related social science ...

AI Engineer

Rockville, MD ยท On-site

$180 - $240/hr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.) * 12 ...

New

Senior Data Scientist

Rockville, MD ยท On-site

$150 - $190/hr

Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.) * 12 ...

Front end React/ Typescript developer

Mclean, VA ยท On-site

$105K - $122K/yr

Preferred Qualifications ยท Graduate degree in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Familiarity with relational databases and writing complex SQL queries.

Showing results 41-60

Graduate Quant information

See Washington, DC salary details

$111K

$192.2K

$293.9K

How much do graduate quant jobs pay per year?

As of Aug 20, 2026, the average yearly pay for graduate quant in Washington, DC 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 graduate quant?

Graduate Quants, or Graduate Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and computational techniques to analyze financial markets and help institutions make informed trading, investment, and risk management decisions. Typically, they have recently completed advanced degrees in fields like mathematics, physics, engineering, or finance. Graduate Quants often work in banks, hedge funds, or trading firms, applying quantitative models to solve complex financial problems. Their roles may include developing algorithms, conducting data analysis, and supporting senior quants with research and model implementation.

What are some typical challenges faced by graduate quants during their first year, and how can they effectively overcome them?

Graduate Quants often encounter challenges such as adapting to high-pressure environments, learning to communicate complex quantitative concepts to non-technical colleagues, and quickly mastering new financial models or programming languages. To overcome these hurdles, it's helpful to proactively seek feedback, collaborate closely with more experienced team members, and dedicate time to continual learning, both on the job and through self-study. Building strong relationships within the team and staying updated on industry trends can also ease the transition and foster professional growth.

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

To thrive as a Graduate Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a quantitative degree such as mathematics, physics, engineering, or computer science. Familiarity with programming languages like Python, C++, R, and financial modeling tools is usually expected, and knowledge of data analysis platforms is beneficial. Analytical thinking, attention to detail, and strong problem-solving abilities are standout soft skills for this role. These skills and qualities are crucial for building robust quantitative models and delivering actionable insights in fast-paced financial environments.

What is the difference between Graduate Quant vs Quant Analyst?

AspectGraduate QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or related field; often entry-levelSame as Graduate Quant, but may require some experience
Work EnvironmentResearch-focused, training programs, junior rolesMore client-facing, strategy implementation, senior responsibilities
Employer & Industry UsageHedge funds, investment banks, asset managersFinancial institutions, trading firms, hedge funds
Search & Comparison IntentYes, often compared for entry-level rolesMore experienced, but related roles

The main difference between a Graduate Quant and a Quant Analyst lies in experience and responsibilities. Graduate Quants are typically entry-level, focusing on learning and research, while Quant Analysts have more experience and handle strategy implementation and client interactions. Both roles are common in finance and require strong quantitative skills, but the level of responsibility and experience distinguishes them.

Data Scientist with Security Clearance

Base-2 Solutions, LLC

Bethesda, MD โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Job Description Position Summary Base-2 Solutions is seeking a Data Scientist to perform research-level data analytics at a customer site in Bethesda, MD. The role supports programs advancing research and advanced machine learning, natural language processing, and data fusion applications for mission-focused big data analytics. The Data Scientist will work as part of a research-focused team to advance national security objectives, analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. Essential Duties and Responsibilities * Work closely with a team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform. * Analyze a variety of big data covering national security, cybersecurity, business intelligence, online social media, human behavior, and more. * Support multiple simultaneous projects, independently and collaboratively making mission-relevant discoveries and delivering findings to non-technical audiences. * Identify novel data sources to improve predictive algorithms and encourage user adoption of data analytics platforms. * Leverage expertise in research design, exploratory analysis, quantitative methods, user interface application design, and customer outreach and engagement. Required Qualifications * B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science with 2+ years of experience; or Master's degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience. * Experience in data science, analytics, or quantitative intelligence analysis with progressive technical development and outcomes. * Proficiency in one or more scripting languages such as Python. * Experience deploying data science applications using Docker, Kubernetes, and/or OpenShift. * Experience with information retrieval and search technologies such as Elastic Stack (Elasticsearch and Kibana) and/or Structured Query Language (SQL). * Experience working with hybrid teams of analysts, engineers, and developers to conduct research and build and deploy complex but user-friendly algorithms and analytical platforms. * Previous experience performing Data Science or Research in data analytics or big data that does not fit in memory. * Track record of active learning and creative problem solving. * Ability to analyze and assess software development or data acquisition requirements and determine cost-effective solutions. * Familiarity with git or other version control technologies. * Ability to own work and complete tasks on time with little or no supervision. Preferred Qualifications * Significant data analytics experience supporting military or intelligence community customers with progressive technical development and mission-focused outcomes. * Experience with at least two of the following data classes: forensic media (DOMEX), open source publicly available information (PAI), measurement and signatures intelligence (MASINT), or cybersecurity and cyber forensics. * Experience with Knowledge Graphs and related technologies such as neo4j or graph machine learning. * Experience developing predictive algorithms, image classifiers, and object detectors. * Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life analysis, natural language processing, social media analysis, classification algorithms, and/or image processing. * Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in unconventional ways. * Experience with on-premises air-gapped environments and/or Amazon Web Services (AWS/C2S). * Familiarity with hardware platforms such as CPUs, GPUs, and FPGAs. Required Education and Experience Equivalency * B.S. Degree in a quantitative or analytical field with 2+ years of experience. * Master's degree or equivalent graduate degree including certificate-based advanced training courses with Less than 2 years of experience. Required Certifications * None specified. Required Security Clearance * Active Top Secret/SCI Pay & Benefit Highlights Compensation * Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity). * Employee referral bonuses up to $10,000 per hired referral. * Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent). Health * 100% company-paid medical premiums for employees and eligible dependents. * Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans. * 100% company-paid dental premiums for employees and eligible dependents. * 100% company-paid vision premiums for employees and eligible dependents. Income Protection * 100% company-paid premiums for short-term disability. * 100% company-paid premiums for long-term disability. * 100% company-paid premiums for accidental death & dismemberment (AD&D). * 100% company-paid premiums for life insurance up to $200,000. Retirement * 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total). * 401(k) pre-tax and Roth options. Leave * Up to 20 days of flexible paid time off (PTO). * 11 paid floating holidays. Work-Life Balance * Flexible work schedules, including flex time and compressed work periods (contract and project-dependent). NT