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Freelance Algorithmic Trading Quant Jobs in Washington

Airbus

Lead AI Solutions Systems Engineer

Herndon, VA · On-site

... and algorithmic requirements. * Define and design technical validation metrics, including ML ... Shape the technical response: design solution blueprints, evaluate build-vs-buy trade-offs, and ...

Ag

Lead AI Solutions Systems Engineer

Herndon, VA

... and algorithmic requirements. * Define and design technical validation metrics, including ML ... Shape the technical response: design solution blueprints, evaluate build-vs-buy trade-offs, and ...

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Freelance Algorithmic Trading Quant information

What is a freelance algorithmic trading quant?

A Freelance Algorithmic Trading Quant is an independent professional who designs, develops, and implements mathematical models and algorithms to automate trading in financial markets. They analyze market data, identify trading opportunities, and build automated systems that can execute trades based on quantitative strategies. Unlike full-time employees, freelance algorithmic trading quants typically work on a project basis for various clients or firms, offering flexibility and specialized expertise. Their work often involves programming, statistical analysis, and a strong understanding of financial markets.

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

To thrive as a Freelance Algorithmic Trading Quant, you need a deep understanding of quantitative analysis, financial markets, and programming, typically backed by a degree in mathematics, statistics, finance, or computer science. Proficiency with programming languages like Python, R, or C++, and experience with trading platforms, statistical modeling tools, and backtesting systems are essential. Strong problem-solving abilities, attention to detail, and effective self-management set exceptional candidates apart in this role. These skills and qualities are vital for developing, testing, and executing profitable trading strategies in a competitive and rapidly changing environment.

How does a freelance algorithmic trading quant typically collaborate with clients and other stakeholders during a project?

As a Freelance Algorithmic Trading Quant, you'll often work closely with clients such as hedge funds, proprietary trading firms, or individual investors to understand their trading objectives and risk appetite. Collaboration usually involves regular check-ins to discuss model requirements, share progress updates, and review backtesting results. You may also interact with other professionals like software developers, risk managers, or data engineers, especially when integrating algorithms into existing trading platforms. Clear communication and documentation are essential to ensure alignment on project goals and deliverables. Flexibility and responsiveness to feedback are key to building long-term client relationships in this dynamic field.

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:

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

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Cities in Washington with the most Freelance Algorithmic Trading Quant job openings:

Freelance Algorithmic Trading Quant jobs near you

Senior Analytic Methodologist (Object Based Intelligence)

Bigbear.ai

Washington, DC • On-site

$91K/yr

Full-time

Re-posted 6 days ago

Job description

Residency
All applicants must reside in the United States at the time of application.
Overview
BigBear.ai is seeking a Senior Analytic Methodologist to support the development of analytic strategies to resolve key intelligence questions of mission-driven requirements.
This position will be based out of Washington, D.C. or the greater National Capital Region (NCR). This is an opportunity to get in on the "ground level" of a new and exciting program with a critical Department of War (DoW) customer. Having an active TS/SCI w/Poly is highly desired.
What you will do
  • Works with ambiguous information, deconstructs key questions, suggests methodologies, develops data schema to structured observations, and supports visualization of applicable data.
  • Identifies and evaluates a wide range of existing methods, models, and algorithms to develop more accurate, complete, objective, and anticipatory analysis for intelligence production. Identifies, retrieves, manipulates, relates, and / or exploits structured data sets from all available sources.
  • Uses scripts, visual analytic modeling tools, and Standard Operating Procedures (SOPs) for repeatable, widely applicable procedures.
  • Combines empirical or quantitative methods with data analysis for intelligence production of complex and data-driven assessments.
  • Evaluates the capabilities and limitations of analytic methodologies.

What you need to have
  • Must possess a TS/SCI clearance with a CI poly (or have the ability to obtain)
  • Bachelor's degree from an accredited institution in intelligence analysis or another related field
  • Minimum of 8 years of experience supporting analysis using data engineering, with at least a portion of experience within the last 2 years

What we'd like you to have
  • Current CI poly
  • Master's degree from an accredited institution in intelligence analysis or another related field (an additional 5 years of experience may be substituted for this requirement)
  • At least 12 years of experience conducting intelligence analysis, production, or analytic methodology

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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