ZipRecruiter

Log In

1

Algorithmic Trading Jobs in Washington (NOW HIRING)

Quantum Space

Image Processing Engineer III

Rockville, MD · On-site

$140K - $185K/yr

Trade Studies & Benchmarking: Establish rigorous validation frameworks, simulation scenarios, and benchmarks to objectively evaluate and compare the performance of alternative algorithms. * Hardware ...

Tech Rakers

Lead Data Scientist

Bethesda, MD · On-site

Train models by preparing data, fitting algorithms, tuning hyperparameters, and validating robustness through cross-validation techniques. Prior to development able to articulate the trade-off on ...

previous pagenext page

Showing results 21-40

All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Washington

Algorithmic Trading information

See Washington salary details

$84.4K

$97.1K

$106.5K

How much do algorithmic trading jobs pay per year?

As of Sep 6, 2026, the average yearly pay for algorithmic trading in Washington is $97,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $103,100.00 per year, depending on experience, location, and employer.

What is algorithmic trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What are the key skills and qualifications needed to thrive as an algorithmic trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

More about Algorithmic Trading jobs

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

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

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

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

What cities in Washington are hiring for Algorithmic Trading jobs?

Cities in Washington with the most Algorithmic Trading job openings:

Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $97,120 per year, or $46.7 per hour.

Senior Technical Program Manager

NightDragon Acquisition Corp.

Herndon, VA • On-site

$130 - $160/hr

Other

Posted 18 days ago

Job description

Job Overview

HawkEye 360 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.

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 (stand‑ups, demos, post‑mortems).
  • 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.
Qualifications & Experience
  • 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.
Desired Qualifications
  • 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.
Compensation

Base Salary Range: $130,000 - $160,000 annually

HawkEye 360 offers 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.

HawkEye 360 is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, marital status, national origin, age, veteran status, disability, or any other protected class.

#J-18808-Ljbffr

Apply