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Quant Developer Remote Jobs in Washington, DC (NOW HIRING)

Maximus

Senior Engineer - Software QA

VA · On-site +1

This is a remote position. Per contractual obligations, candidates must be a US Citizen or Green ... quantitative data related to software testing and development activities for measurement and ...

AVIAN, LLC

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Data Science or related quantitative science field * Information Science/Technology * Forensics ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Data Science or related quantitative science field * Information Science/Technology * Forensics ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

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All JobsQuant Developer Remote JobsQuant Developer Remote Jobs in Washington, DC

Quant Developer Remote information

See Washington, DC salary details

$188.9K

$235.4K

$268.8K

How much do quant developer remote jobs pay per year?

As of Jun 26, 2026, the average yearly pay for quant developer remote in Washington, DC is $235,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $209,500.00 and $261,200.00 per year, depending on experience, location, and employer.

What are some typical challenges Quant Developers face when working remotely, and how can they overcome them?

Quant Developers working remotely often encounter challenges such as coordinating with globally distributed teams, maintaining effective communication with traders and researchers, and ensuring secure access to sensitive financial data. Overcoming these challenges involves leveraging collaboration tools, establishing clear communication protocols, and adhering to robust cybersecurity practices. Regular virtual meetings and comprehensive documentation also help maintain alignment and workflow efficiency within the remote quant team.

What are the key skills and qualifications needed to thrive as a Quant Developer in a remote setting, and why are they important?

To thrive as a Quant Developer remotely, you need strong quantitative analysis, programming expertise (especially in Python, C++, or Java), and a background in mathematics, statistics, or finance, often supported by an advanced degree. Familiarity with financial modeling tools, version control systems like Git, and cloud-based collaboration platforms is essential. Exceptional problem-solving skills, self-motivation, and effective communication are key soft skills for excelling in a distributed team environment. These abilities enable accurate model development, seamless remote collaboration, and timely delivery of complex financial solutions.

What is the difference between Quant Developer Remote vs Quant Analyst Remote?

AspectQuant Developer RemoteQuant Analyst Remote
Required CredentialsDegree in Math, Finance, or Computer Science; programming skills (Python, C++, SQL)Degree in Finance, Economics, or Math; strong analytical skills; some programming knowledge
Work EnvironmentCollaborates with developers and traders; coding-focusedAnalyzes data and market trends; supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, hedge funds, investment firms
Common Search & ComparisonOften compared for technical roles in quant teamsRelated but more analysis-focused

While both roles operate within the finance industry and require quantitative skills, Quant Developer Remote primarily focuses on coding and developing trading algorithms, whereas Quant Analyst Remote emphasizes data analysis and strategy support. Understanding these differences helps candidates target their job search effectively.

What are Quant Developers?

Quant Developers, or quantitative developers, are specialized software engineers who design, build, and maintain complex financial models, trading algorithms, and analytical tools for financial institutions. They work closely with quantitative analysts (quants) to implement mathematical models into code, often using programming languages like Python, C++, or Java. When working remotely, Quant Developers collaborate with teams via digital communication tools and are responsible for ensuring code quality and optimizing performance to support trading and risk management strategies.
What are the most commonly searched types of Quant Developer jobs in Washington, DC? The most popular types of Quant Developer jobs in Washington, DC are:
What are popular job titles related to Quant Developer Remote jobs in Washington, DC? For Quant Developer Remote jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Quant Developer Remote jobs in Washington, DC look for? The top searched job categories for Quant Developer Remote jobs in Washington, DC are:
Quant Developer Remote jobs near you

Geothermal Modeling Graduate Student Employee

Electric Power Research Institute, Inc.

Washington, DC • On-site, Remote

$31 - $36/hr

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Job description

Job Title:
Geothermal Modeling Graduate Student Employee
Location:
Remote/Home Based
Job Summary and Description:
EPRI's Geothermal R&D Group is seeking a motivated and technically strong graduate student to support ongoing research in geothermal subsurface modeling. You will work directly with EPRI scientists and engineers to advance understanding of geothermal reservoir behavior and its integration with surface systems, power generation, and grid/market models. This internship offers a unique opportunity to contribute to cross-disciplinary research central to the future of low-carbon, firm renewable energy.
This role is well-suited for an advanced graduate student with demonstrated quantitative, computational, and thermo-hydro-mechanical (THM) modeling skills. Experience with reactive transport modeling, geochemistry, or geothermal datasets is considered a strong plus.
Interns can work fully remote, in an EPRI office, or in a hybrid arrangement. The timeframe is flexible, with a target duration of ~3 months. Weekly hours can be adjusted to accommodate academic schedules-from 15 hours/week (part-time) to 40 hours/week (full-time).
Key Responsibilities:
  • Collaborate with EPRI researchers to develop and apply geothermal subsurface models (e.g., coupled THMC simulations, reservoir characterization, or reactive transport workflows).
  • Analyze geothermal datasets and integrate model outputs with surface-level and grid/market models to support geothermal power generation insights.
  • Contribute to tool development, modeling workflows, and documentation in Python.
  • Conduct literature reviews on geothermal modeling, reservoir processes, and related areas.
  • Support report writing, presentations, and communication of key findings to internal and external stakeholders.

Internship Qualifications:
  • Graduate student in earth sciences, energy resources, mechanical engineering, geophysics, computer science, or a related field; preference for PhD students.
  • Experience with THMC modeling, geothermal reservoir modeling, or related numerical simulations; reactive transport modeling and geochemistry background are a plus.
  • Excellent Python skills and comfort working with scientific computing libraries.
  • Strong technical aptitude with experience in quantitative methods, numerical modeling, and data analysis.
  • Familiarity with the geothermal energy literature, reservoir processes, and/or energy systems integration.
  • Excellent research, writing, and communication skills; ability to present complex concepts clearly and concisely.
  • Positive, proactive attitude; comfortable working both independently and collaboratively in a research environment.

What You'll Gain:
  • Hands-on experience with geothermal modeling challenges directly relevant to next-generation renewable baseload technologies.
  • Mentorship from EPRI's multidisciplinary team of scientists and engineers working at the intersection of geoscience, energy systems, and emerging clean-energy technologies.
  • Exposure to applied research used by utilities, developers, and government partners across the energy sector.

The hourly rate range for Student positions are:
  • Undergraduate: $16-29 per hour
  • Masters: $27-33 per hour
  • Ph.D: $31-36 per hour

These ranges are an estimate, and the actual hourly rate may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The hourly rate may also be adjusted based on applicant's geographic location.
As an EPRI Student, you will not participate in EPRI's Benefit Programs which includes health insurance, retirement benefits, vacation, sick leave (except as set required by law) and holiday pay. However, as a Student employee you are eligible for the benefits of Social Security, State Disability Insurance, and Workers' Compensation Insurance.
For Student positions which require one to relocate to an EPRI office. Relocation assistance is not provided and the student will be responsible for covering all relocation costs/expenses.
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together . . . Shaping the Future of Energy.
www.epri.com

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