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Remote Algorithmic Trading Quant Jobs in Washington

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... expertise and quantitative analysis to make recommendations that improve data curation and ... Algorithms * Automated workflows * Scientific exploitation methods * Understanding of: * Remote ...

Senior Scientist

Herndon, VA · On-site +1

$94K - $128K/yr

Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems ... to trade studies and capability assessments. * Prepare and deliver technical briefings, findings ...

Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems ... to trade studies and capability assessments. * Prepare and deliver technical briefings, findings ...

Senior Scientist

Herndon, VA · On-site +1

$150K - $235K/yr

Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems ... to trade studies and capability assessments. * Prepare and deliver technical briefings, findings ...

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics ...

... algorithms. - Work side-by-side with product managers, software engineers, and designers in ... applying quantitative research in optimizing human decisions using technologies like machine ...

... algorithms. - Work side-by-side with product managers, software engineers, and designers in ... Minimum Requirements: -Master's degree in quantitative science, social science, or a related ...

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

Location: 100% Remote. This is a United States based position, and candidates must reside in the ... Expertise in statistical modeling, machine learning algorithms, and data mining techniques. * Must ...

... expertise and quantitative analysis to make recommendations that improve data curation and ... Algorithms * Automated workflows * Scientific exploitation methods * Understanding of: * Remote ...

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Remote Algorithmic Trading Quant information

What is a remote algorithmic trading quant?

A Remote Algorithmic Trading Quant is a quantitative analyst who develops, tests, and implements mathematical models and trading algorithms for financial markets while working off-site or from home. They analyze large datasets, identify trading opportunities, and use programming languages like Python or C++ to automate trading strategies. Their work is vital for firms seeking to gain a competitive edge through data-driven, automated trading, and being remote allows them to collaborate with global teams or firms without being physically present in a traditional office setting.

What are the key skills and qualifications needed to thrive as a remote algorithmic trading quant?

To thrive as a Remote Algorithmic Trading Quant, you need advanced quantitative skills, strong programming ability (often in Python, C++, or R), and a solid background in mathematics, statistics, or related fields—typically supported by a relevant degree. Familiarity with trading platforms, financial data feeds, and version control systems, as well as experience with backtesting frameworks, is highly valued. Exceptional problem-solving, attention to detail, and effective remote communication are crucial soft skills for success in this position. These skills and qualities enable the development, testing, and deployment of robust trading strategies in a fast-paced, data-driven environment.

What are some common challenges faced by remote algorithmic trading quants, and how can they be addressed?

Remote algorithmic trading quants often face challenges such as ensuring robust communication with team members, maintaining access to secure and reliable data feeds, and collaborating effectively across time zones. To address these, quants typically use advanced collaboration tools, participate in regular virtual meetings, and follow strict cybersecurity protocols. Building strong documentation and leveraging version-control systems like Git can also help maintain workflow efficiency and code integrity while working remotely.

What is the difference between Remote Algorithmic Trading Quant vs Remote Quantitative Analyst?

AspectRemote Algorithmic Trading QuantRemote Quantitative Analyst
CredentialsDegree in finance, computer science, or mathematics; coding skills; experience with trading algorithmsDegree in finance, economics, mathematics; statistical and analytical skills; programming knowledge
Work EnvironmentFinancial firms, hedge funds, trading firms; focus on developing and testing trading algorithmsFinancial institutions, investment firms; focus on data analysis, modeling, and risk assessment
Industry UsageCommon in trading and hedge fund industriesWidespread across finance, banking, and investment sectors

The Remote Algorithmic Trading Quant specializes in developing and implementing trading algorithms within trading firms, focusing on automation and execution strategies. In contrast, the Remote Quantitative Analyst often performs broader data analysis and modeling tasks across various financial sectors. While both roles require strong quantitative skills and programming knowledge, their primary focus and work environments differ, aligning with their specific industry functions.

What are the most commonly searched types of Algorithmic Trading Quant jobs in Washington?

The most popular types of Algorithmic Trading Quant jobs in Washington are:

What are popular job titles related to Remote Algorithmic Trading Quant jobs in Washington?

For Remote Algorithmic Trading Quant jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Algorithmic Trading Quant jobs in Washington look for?

The top searched job categories for Remote Algorithmic Trading Quant jobs in Washington are:

Infographic showing various Remote Algorithmic Trading Quant job openings in Washington as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution.

Enterprise Analytics and Modeling - Quantitative Modeling - Senior Manager

Washington, DC • On-site, Remote


Fannie Mae
Finance and Insurance • 5 - 10K employees

9.0

Company rating: 9.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Great coworkers

People enjoy working here

Good employer


$175K - $239K/yr

Full-time

Medical, Life

This job post has expired today. Applications are no longer accepted.


Job description

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

Job Description

As a valued leader on our team, you will lead quantitative research, model development, and analytical support for models used in agency mortgage-backed securities valuation, risk management, and capital markets decision-making.

This role will manage complex modeling initiatives across the model lifecycle, from research and model design through implementation, performance monitoring, validation, and production support. The manager will partner closely with Capital Markets, Market Risk, Model Risk Management, Validation, Technology, and model users to ensure that models are analytically sound, operationally reliable, and responsive to evolving business needs. 

Additionally, you will collaborate with department leadership to develop the strategic plan for the function or related business process.

THE IMPACT YOU WILL MAKE

The Modeling and Analytics - Quantitative Modeling – Senior Manager role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

  • Lead a team responsible for the research, development, calibration, implementation, and ongoing monitoring of mortgage prepayment, valuation, and market-risk models.
  • Direct Agency MBS prepayment-model research across mortgage products and borrower segments, including analysis of refinancing behavior, loan characteristics, and changing market dynamics.  
  • Translate model outputs and complex quantitative findings into actionable insights for Capital Markets, Market Risk, trading, portfolio-management, and senior leadership stakeholders.  
  • Manage the model lifecycle in collaboration with Model Risk Management and Validation, including development planning, documentation, performance monitoring, effective challenge, remediation, and resolution of validation or audit findings.  
  • Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks.
  • Drive model modernization through advancing analytical frameworks, AI-enabled automation and workflows, enhanced on-demand analytical capabilities, while enabling timely and effective responses to evolving model user needs.  
  • Coach team members to communicate technical subject matter clearly and concisely.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences:

  • 6 years of experience in quantitative modeling, model development, mortgage analytics, fixed-income analytics
  • Strong understanding of statistical modeling, model calibration, backtesting, benchmarking, sensitivity analysis, scenario analysis, and stress testing.  
  • Experience supporting models throughout the development, implementation, validation, production, and performance-monitoring lifecycle.  
  • Demonstrated experience leading complex quantitative projects and coordinating work across multiple business, risk, validation, and technology stakeholders.  
  • Strong written and verbal communication skills, including the ability to explain technical concepts to both quantitative and nontechnical audiences.  
  • Advanced programming skills, particularly in Python, with the ability to develop scalable analytical solutions.
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Desired Experiences:

  • Bachelor degree or equivalent. Master’s degree in mathematics, statistics, financial engineering, economics, quantitative finance, or a related quantitative discipline preferred.
  • Expertise in agency MBS, mortgage prepayment modeling, fixed-income valuation, interest-rate risk, or mortgage cash-flow analytics.  
  • Knowledge of fixed-rate, adjustable-rate, FHA/VA, reperforming, or nonperforming mortgage products.  
  • Prior experience in secondary mortgage market and/or capital market trading

Enterprise Modeling and Analytics - Quantitative Modeling - Senior Manager

Target Pay Range: $175,000 - $239,000 a year

#LI-Hybrid #LI-ME1

Qualifications

Education:

Bachelor's Level Degree (Required)

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.


Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.

The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.

Requisition compensation:

175000

to

239000


What Fannie Mae employees say

Pay

Hours and flexibility

Workplace

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