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Algorithmic Execution Quant Jobs in Virginia (NOW HIRING)

Lendable

Senior Growth Manager

Arlington, VA

S. personal loans acquisition channels end-to-end -- from strategy through execution -- directly ... Deeply understand key third-party and partner ranking algorithms / channel mechanics, and feed ...

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Algorithmic Execution Quant information

What is the difference between Algorithmic Execution Quant vs Quantitative Trader?

AspectAlgorithmic Execution QuantQuantitative Trader
Primary FocusDeveloping and implementing algorithms for trade execution to minimize market impactCreating trading strategies to generate alpha and profit from market movements
Work EnvironmentQuantitative research teams, trading desks, technology-drivenTrading floors, portfolio management teams, research departments
Required SkillsProgramming, market microstructure, execution algorithmsQuantitative modeling, market analysis, strategy development

While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.

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

To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.

What are some common challenges faced by algorithmic execution quants when developing and deploying trading algorithms?

Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.

What does an algorithmic execution quant do?

An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.

What are popular job titles related to Algorithmic Execution Quant jobs in Virginia?

For Algorithmic Execution Quant jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Algorithmic Execution Quant jobs in Virginia look for?

The top searched job categories for Algorithmic Execution Quant jobs in Virginia are:

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Cities in Virginia with the most Algorithmic Execution Quant job openings:

Algorithmic Execution Quant jobs near you

*New* Senior Technical Lead, AI-Powered Finance Solutions

FI Consulting

Arlington, VA • On-site

Full-time

Posted 23 days ago

Job description

FI Consulting is seeking a full-time Senior Technical Lead with 10+ years of professional experience, to help lead and advise our client on AI-Powered Finance Solutions.
For more than 23 years, financial institutions in the Federal, private, and public sectors have called on FI Consulting to address complex and high-stakes analytical challenges closely scrutinized by executives, auditors, regulators, and stakeholders.
We help clients succeed by applying our core strengths in business applications of Data Engineering, Analytics, Modeling, and Business Architecture to gain insight into finances, loans, and performance; manage risk; and improve operations.
The Opportunity
This is a rare chance to sit at the intersection of cutting-edge AI and high-stakes financial decision-making. You will be shipping real AI-enabled products that help finance leaders trust their numbers, understand their models, and make decisions that matter. You'll be involved in the full development lifecycle: partnering with senior business leaders to uncover what they truly need, translating that into Python-powered solutions built with AI assistance (GitHub Copilot), and delivering products that make complex financial models understandable and financial results defensible.
Responsibilities
  • Build AI-enabled products that validate financial results and demystify complex financial models, turning black-box outputs into clear, auditable narratives
  • Drive insight discovery for a finance team, surfacing patterns, anomalies, and opportunities buried in complex datasets through sharp analytics and compelling visualizations
  • Own the product management process end-to-end: engage directly with stakeholders to define requirements, set priorities, and align delivery to business impact
  • Develop in Python, leveraging GitHub Copilot and modern AI tooling to ship faster and smarter, you'll help define what AI-assisted development looks like at scale
  • Translate complexity into clarity; present findings and recommendations to executive audiences in a way that drives confident, data-backed decisions
  • Act as a trusted advisor to client leadership, anticipating needs, managing risk, and keeping high-visibility deliverables on track
  • Stay ahead of the curve on AI, regulatory, and industry developments, continuously bringing new ideas that sharpen the team's capabilities

Required Qualifications
  • Bachelor's degree in Economics, Finance, Mathematics, Computer Science, or a related quantitative discipline
  • 10+ years of experience in data analysis within Finance, Accounting, or CFO organizations
  • Hands-on experience with financial modeling, housing finance, and credit risk
  • Understanding of the regulatory landscape and business challenges shaping the GSE and broader financial services industry
  • Client-facing consulting experience
  • Experience in banking, finance, housing, real estate or capital markets
  • Experience leading teams and managing multi-stakeholder relationships across technical and business domains
  • Exceptional communicator, equally comfortable whiteboarding with engineers and presenting to C-suite
  • Highly self-directed with a bias for action and collaborative execution

Preferred Qualifications
  • Deep familiarity with government-sponsored enterprises (GSEs), Fannie Mae and/or Freddie Mac experience strongly preferred
  • Certifications: CFA, CPA, FRM

Preferred Technologies
  • Query & Analysis: SQL, Python, R
  • Programming & Automation: Python, R, SAS, JavaScript
  • Visualization & BI: Excel, Power BI, Tableau
  • Cloud: Azure, AWS, GCP

You're an AI Native - This team moves at the speed of AI. We're looking for someone who has already woven AI tools into their daily workflow, not someone curious about starting.
  • You build with these: Code generation tools (GitHub Copilot, Claude Code, Kiro, etc.) to accelerate development
  • You ship with these: Embedding AI into product solutions: LLMs for model explanation, predictive algorithms for anomaly detection, intelligent validation pipelines
  • You should be able to walk through specific examples of how AI made your work sharper, faster, or more impactful.

Your Mindset
  • Intellectual Curiosity: You chase down new AI capabilities because you genuinely want to know what's possible
  • Problem-solving & Critical Thinking: You don't just apply tools, you know when and why to reach for them
  • Learning Agility: The AI landscape shifts constantly; you shift with it

Our Company Values & Operates on
  • A Commitment to Creating Value for our Clients and our Employees
  • A Flat Management Structure that is Still Led by one of the Original Founders
  • An Emphasis on Teamwork and Cooperation
  • Employee Development and Career Growth
  • Continuous Improvement
  • An Entrepreneurial Culture that Rewards Finding, Developing, and Owning Business

Additional requirements
  • Authorized to work in the United States as a US Citizen. We are not able to accept permanent resident or sponsor or accept any VISA Holders at this time including OPT, H1B, EAD.
  • Successfully pass a background investigation and drug screening.
  • Reside in the DC Metro area within 30 days of hire.

FLSA Designation
  • This is an exempt position.
  • FI Consulting participates in E-Verify.
  • Equal Employment Opportunity/disability/protected veteran status.
  • FI Consulting is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please email recruiting@ficonsulting.com or call: 571-255-6772. We will make a determination on your request for reasonable accommodation on a case-by-case basis.

AI plays only a supporting role in our recruitment process. All decisions are made by human members of our talent acquisition team.

Apply