1

Quant Analytics Jobs in Silver Spring, MD (NOW HIRING)

next page

Showing results 1-20

Quant Analytics information

See Silver Spring, MD salary details

$54.3K

$123.2K

$203.1K

How much do quant analytics jobs pay per year?

As of Jul 3, 2026, the average yearly pay for quant analytics in Silver Spring, MD is $123,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,200.00 and $157,700.00 per year, depending on experience, location, and employer.

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

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

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

What are Quant Analytics?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

Is a quant analyst high paying?

Quant analysts typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes bonuses and incentives, especially in financial firms or hedge funds, making it a lucrative career path for those with advanced quantitative expertise.

What is quant analytics salary?

The salary for a quant analyst typically ranges from $80,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those at top financial firms can earn over $200,000, often supplemented with bonuses and performance incentives. Skills in programming, statistical analysis, and financial modeling are highly valued in this field.

What does a quant analyst do?

A quant analyst uses mathematical models and statistical techniques to analyze financial data and develop trading strategies. They often work with programming languages like Python or R and tools such as Excel or MATLAB to identify market opportunities and manage risk. Their work supports investment decisions and requires strong analytical skills and knowledge of finance and mathematics.

What is a quantitative analytics job?

A quantitative analytics job involves using mathematical models, statistical techniques, and programming skills to analyze financial data, identify trends, and support decision-making. Professionals in this field often work with tools like Python, R, or SQL and require strong analytical and problem-solving abilities. The role is common in finance, investment firms, and risk management environments.

How do Quant Analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.
What are popular job titles related to Quant Analytics jobs in Silver Spring, MD? For Quant Analytics jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Quant Analytics jobs in Silver Spring, MD look for? The top searched job categories for Quant Analytics jobs in Silver Spring, MD are:
Quantitative Analyst with Security Clearance

Quantitative Analyst with Security Clearance

ThinkTek LLC

Alexandria, VA • On-site

Other

Medical, Dental, Vision, PTO

Posted 14 days ago


Job description

Quantitative Analyst Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB) specializing in management and technology consulting for Federal Government modernization. We provide tailored solutions in Program & Project Management, Strategic Planning, and IT Operations. Position Description ThinkTek is seeking a skilled Functional Analyst to support Joint Data and Analytic Support – Intelligence Analysis & Data Support Services for Strategic Analysis, Future Force Planning, and Joint Capability Development.

The successful candidate will apply analytical, operational, and quantitative methods to support defense resource allocation, force development, intelligence analysis, and program evaluation efforts. This role combines functional analysis, operations research, data analytics, and decision-support capabilities within complex national security environments. The Functional Analyst will provide analytical support to Department of Defense stakeholders by conducting research, evaluating data, executing computational and optimization models, and developing actionable recommendations that inform strategic decisions.

This position requires the ability to bridge operational, intelligence, and analytical disciplines while effectively communicating findings to technical and non-technical audiences. Responsibilities * Conduct functional and quantitative analysis, statistical modeling, and data validation to support strategic portfolio reviews, force planning initiatives, intelligence assessments, and program evaluations. * Support strategic analysis efforts related to future force development, capability assessments, readiness evaluations, and resource allocation decisions.

* Execute, interpret, and support optimization models using GAMS and similar tools to inform evidence-based decision-making across defense and intelligence missions. * Manipulate model parameters to refine outputs, explore solution spaces, and evaluate sensitivity to key assumptions and operational variables. * Analyze military, intelligence, operational, and resource allocation data to identify trends, risks, opportunities, and decision points.

* Develop dashboards, visualizations, analytical products, and briefing materials that effectively communicate findings to government stakeholders and senior decision-makers. * Optimize data pipelines, analytical workflows, and data models to improve integrity, performance, and analytical efficiency. * Support Planning, Programming, Budgeting, and Execution (PPBE) activities through data-driven analysis and recommendations.

* Contribute to force structure assessments, capability development initiatives, and joint planning efforts. * Collaborate with subject matter experts, operational planners, intelligence analysts, modeling teams, and government clients to validate assumptions and refine analytical approaches. * Prepare technical reports, briefings, white papers, and recommendations that translate complex analytical findings into actionable insights.

* Support Joint Capability Development, Strategic Analysis, and Future Force Planning activities in accordance with contract requirements and government standards. Required Qualifications * Active Top Secret clearance with SCI eligibility. * Bachelor's degree * Minimum of 4 years of experience in at least one of the following areas: * Military or operations research-related field (e.g., U.S.

military operations, munitions, readiness, deployment planning, or operational analysis across air, space, ground, special operations, and maritime domains). * Planning, Programming, Budgeting, and Execution (PPBE). * Force and capability development.

* Intelligence and collection analysis. * Experience performing functional analysis, operations research, quantitative analysis, computational modeling, intelligence analysis, data science, or related analytical functions. * Proficiency in Structured Query Language (SQL) to manage and query logistics and force inventories, personnel readiness databases, and intelligence reports.

* Familiarity with optimization concepts and mathematical modeling, including the ability to execute models, interpret outputs, and adjust parameters. * Strong analytical and problem-solving skills with the ability to transform complex technical findings into actionable recommendations. * Excellent written and verbal communication skills.

* Ability to work independently and collaboratively within multidisciplinary teams. Desired Qualifications * Master of Science degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Data Science, or a related STEM field. * Experience with GAMS or similar optimization platforms such as CPLEX, Gurobi, AMPL, or Pyomo.

* Familiarity with Joint Staff processes, DoW force planning, capability development frameworks, intelligence analysis methodologies, or defense resource allocation processes. * Experience supporting senior government leaders through analytical studies, decision support, or strategic planning efforts. Pay Range The anticipated salary range for this position is $73,015 – $77,939.

This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data, and applicable contract requirements, and may fall outside the posted range. ThinkTek LLC is proud to be an Equal Opportunity Employer (EOE), making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety of other paid leave options are also available.