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Remote Algorithmic Trading Quant Jobs in Washington, DC

TalentRemedy

Technical Program Manager

Herndon, VA · On-site +1

$132K - $171K/yr

Ability to understand system architecture, APIs, pipelines, and algorithmic trade-offs; comfortable ... Geospatial analytics, remote sensing, or high-throughput data platforms. Benefits A compensation ...

Skyline Scientific Inc

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

... for remote sensors, coordinating priorities across multiple systems. * Test and evaluate emerging EO/IR algorithms, tools, and exploitation platforms; and help develop new trade studies and ...

Alphataraxia

Data Engineer II

Washington, DC · On-site +1

$150K - $170K/yr

Company Alphataraxia Management (ATX) is a fast-growing quantitative investment management group ... Build out proprietary systems that are the backbone of our business in trading speculative ...

iDirect GOVERNMENT

Senior FPGA Engineer

Herndon, VA · On-site +1

$133K - $171K/yr

This position is based out of our Herndon, VA location with the option of a remote work schedule ... Ability to plan/perform analysis, studies/trade-offs in support of subsystem specification and ...

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Remote Algorithmic Trading Quant information

See Washington, DC salary details

$59.5K

$135K

$222.6K

How much do remote algorithmic trading quant jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote algorithmic trading quant in Washington, DC is $134,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $172,700.00 per year, depending on experience, location, and employer.

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 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 key skills and qualifications needed to thrive as a Remote Algorithmic Trading Quant, and why are they important?

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 are the most commonly searched types of Algorithmic Trading Quant jobs in Washington, DC? The most popular types of Algorithmic Trading Quant jobs in Washington, DC are:
What are popular job titles related to Remote Algorithmic Trading Quant jobs in Washington, DC? For Remote Algorithmic Trading Quant jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Algorithmic Trading Quant jobs in Washington, DC look for? The top searched job categories for Remote Algorithmic Trading Quant jobs in Washington, DC are:
Remote Algorithmic Trading Quant jobs near you
Technical Program Manager

Technical Program Manager

TalentRemedy

Herndon, VA • On-site, Remote

$132K - $171K/yr

Full-time

Posted 13 days ago

Job description

Our client is seeking a Technical Program Manager (TPM) to drive complex, cross-functional engineering initiatives from concept through delivery. You will partner closely with software engineers, algorithm developers, data/ML teams, DevOps, and product managers to plan and orchestrate programs that build, scale, and improve our signal processing and analytics capabilities. Your background in software engineering and data processing/algorithm development enables you to engage deeply with technical decisions, clarify trade-offs, and keep teams aligned on outcomes.

This role is ideal for someone who thrives in ambiguous environments, adapts quickly, and brings the core TPM toolkit-structured planning, crisp communication, proactive risk management, and delivery excellence. Responsibilities: Program Ownership & Delivery Own end-to-end delivery of multi-team initiatives spanning processing pipelines, algorithm development, data products, and platform reliability. Define program scope, success metrics, dependencies, and milestones; maintain clear program plans and dashboards.

Drive regular planning, sequencing, and resource alignment; keep stakeholders informed with concise updates and transparent trade-offs. Technical Execution & Decision Support Translate product goals and technical requirements into executable plans; facilitate design reviews and decision records. Partner with engineering leads to unblock teams, manage interfaces and contracts, and ensure non-functional requirements (scalability, reliability, security) are embedded.

Risk, Quality & Governance Identify and mitigate risks early (architecture, compliance, data quality, performance) Establish and evolve program metrics and run operational cadences (standups, demos, postmortems). Cross-Functional Collaboration Coordinate across Technology teams including Product, System Operations, Algorithms, and Systems Engineering; align on priorities and release schedules. Communicate clearly to technical and non-technical audiences; create crisp briefs, change logs, and executive summaries.

Continuous Improvement Lead retrospectives to improve delivery processes, backlog hygiene, and release management. Champion repeatable programmatic practices tailored to team needs and standardize artifacts. Requirements Bachelor's Degree in Engineering or related field or equivalent experience 5+ years in technical program/project management or engineering leadership roles Hands-on experience in software engineering or data processing/algorithm development.

Technical Fluency: Ability to understand system architecture, APIs, pipelines, and algorithmic trade-offs; comfortable facilitating design discussions and documenting decisions. RF/Signal Experience: Exposure to RF signal processing, geolocation, spectrum monitoring, or satellite/space systems. TPM Fundamentals: Roadmapping, scoping, dependency management, risk/issue handling, status/reporting, stakeholder management, and delivery accountability.

Execution in Ambiguity: Demonstrated success leading programs with evolving requirements, complex dependencies, and cross-functional stakeholders. Process & Tools: Proficiency with backlog management, OKRs, and program tooling (e.g., Jira, Confluence, or equivalents). Communication: Excellent written and verbal communication; ability to create clear plans, dashboards, and executive updates

Desirable: Project Management Professional (PMP) Certification Data/ML Pipelines: Familiarity with batch/stream processing (e.g., Kafka, Spark), model deployment/monitoring, data quality frameworks, and MLOps. Cloud & DevOps: Experience with cloud-native architectures (AWS/Azure/GCP), CI/CD, infrastructure as code, and observability practices. Compliance & Reliability: Working knowledge of information security, data governance, and incident management

Domain Exposure: Geospatial analytics, remote sensing, or high-throughput data platforms. Benefits A compensation package that includes a competitive base salary plus annual performance bonus and benefits. We consider many factors when determining salary offers, such as candidate's work experience, education, training & skills, as well as market and business considerations.

We are also open to considering candidates with experience and qualifications at a different level than required in a job posting, which may affect the compensation package offered.

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