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Financial Engineering Jobs in Virginia (NOW HIRING)

Aktra

AI & Financial Engineering Developer

Mclean, VA · On-site

We are seeking an experienced AI & Financial Engineering Developer with expertise in AI/ML, financial systems, and enterprise software development. This role is ideal for a hands‑on engineer who ...

BTree Solutions, Inc.

UI/UX DEVELOPER

Mclean, VA · On-site

$50.75 - $66/hr

W2 Client's Financial Engineering team is seeking Developer-UX User Interface Senior for a large strategic financial project. The position is focused on UI/UX development for a software application ...

NimbusAITech LLC

Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

Preferred Qualifications Advanced degree (Master's) in Computer Science, Mathematics, Financial Engineering, or Statistics. Familiarity with GAAP accounting fundamentals (revenue/expense recognition ...

HyrUS Inc.

Senior Python Developer

Mclean, VA · On-site

$124K - $167K/yr

Shell scripting, financial domain with fixed income knowledge, graduate degree in Computer Science or Mathematics -similar degrees, Certs -CFA, FRM, CPA. Financial Engineering: Senior Software ...

hyrusinc

Senior Python Developer

Mclean, VA · On-site

$122K - $165K/yr

Shell scripting, financial domain with fixed income knowledge, graduate degree in Computer Science or Mathematics -similar degrees, Certs -CFA, FRM, CPA. Financial Engineering: Senior Software ...

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Financial Engineering information

See Virginia salary details

$75.3K

$109.9K

$134.8K

How much do financial engineering jobs pay per year?

As of Sep 14, 2026, the average yearly pay for financial engineering in Virginia is $109,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $123,400.00 per year, depending on experience, location, and employer.

What is financial engineering?

Financial engineering is the application of mathematical techniques, computer science, and statistical methods to solve problems and create innovative solutions in finance. Professionals in this field develop new financial products, manage risk, and optimize investment strategies using quantitative models. Financial engineers often work in banks, investment firms, hedge funds, or financial technology companies, helping organizations manage complex financial systems and products. The discipline combines finance, mathematics, statistics, and programming to address challenges in areas like derivatives pricing, risk management, and portfolio optimization.

What are some common challenges faced by financial engineers when implementing quantitative models in real-world financial institutions?

Financial engineers often encounter challenges such as aligning complex quantitative models with existing IT infrastructure and ensuring the models comply with regulatory requirements. Additionally, translating theoretical models into practical, scalable solutions that can handle large volumes of real-time data requires close collaboration with software developers and risk managers. Effective communication with non-technical stakeholders is also crucial, as financial engineers must explain model assumptions and results to decision-makers from diverse backgrounds.

What are the key skills and qualifications needed to thrive as a financial engineer, and why are they important?

To thrive as a Financial Engineer, you need a strong background in quantitative analysis, mathematics, programming, and finance, typically supported by a relevant degree such as financial engineering, mathematics, or computer science. Expertise in programming languages like Python, R, or C++, as well as familiarity with financial modeling software and risk management systems, is essential. Strong problem-solving, analytical thinking, and communication skills set top performers apart in this role. These skills are crucial for designing innovative financial products, managing complex risks, and translating quantitative insights into actionable business strategies.

What is the difference between Financial Engineering vs Quantitative Analyst?

AspectFinancial EngineeringQuantitative Analyst
Required CredentialsDegree in Financial Engineering, Mathematics, or related fields; often certifications like CQFDegree in Finance, Mathematics, or Statistics; certifications like CFA or CQF are common
Work EnvironmentFinancial institutions, hedge funds, investment banks; focus on product development and risk managementTrading desks, asset management firms; focus on data analysis and model development
Employer & Industry UsageUsed in risk management, derivatives pricing, and structured productsUsed in trading strategies, portfolio management, and risk assessment

Financial Engineering and Quantitative Analysts often share similar educational backgrounds and work in related financial sectors. While Financial Engineers focus on creating financial products and managing risks through complex models, Quantitative Analysts primarily analyze data to inform trading and investment decisions. Both roles require strong quantitative skills and often overlap in financial institutions.

What is the work of a financial engineer?

A financial engineer develops mathematical models and uses quantitative techniques to analyze and manage financial risks, design trading strategies, and create financial products. They often work with programming tools like Python or C++ and require strong skills in mathematics, finance, and computer science. Their work supports decision-making in investment banks, hedge funds, and financial institutions.

What jobs do financial engineers get?

Financial engineers typically work as quantitative analysts, risk managers, derivatives traders, or financial modelers in banking, investment firms, hedge funds, and insurance companies. They use skills in mathematics, programming, and financial theory to develop models and strategies for trading, risk assessment, and asset management.

What are the most commonly searched types of Financial Engineering jobs in Virginia?

The most popular types of Financial Engineering jobs in Virginia are:

What are popular job titles related to Financial Engineering jobs in Virginia?

For Financial Engineering jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Financial Engineering jobs in Virginia look for?

The top searched job categories for Financial Engineering jobs in Virginia are:

Financial Engineering jobs near you
Infographic showing various Financial Engineering job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $109,862 per year, or $52.8 per hour.

AI & Financial Engineering Developer

Mclean, VA • On-site

Aktra
Business Management Consulting • 11 - 50 employees
Learn more about Aktraexternal

Other

Posted 26 days ago

Job description

Only considering candidates already local to the Washington, D.C. area who can start immediately.

We are seeking an experienced AI & Financial Engineering Developer with expertise in AI/ML, financial systems, and enterprise software development. This role is ideal for a hands‑on engineer who can build AI-powered financial applications, develop scalable APIs, and collaborate with cross-functional teams to deliver innovative solutions.

Must-Have Qualifications
  • 7+ years of software development experience
  • Strong experience building APIs and AI-powered applications
  • Expert programming skills in Python with experience in Java, C++, or Scala
  • 1–3 years of experience in financial services or FinTech
  • Experience developing applications using LLMs; experience with AI agents/agentic AI is highly preferred
  • Experience with cloud platforms (AWS, Azure, or GCP) and modern software engineering practices
  • Bachelor's degree preferred (Master's or PhD in a quantitative field is a plus)
Key Responsibilities
  • Design, develop, and deploy AI/ML solutions for financial applications
  • Build and optimize LLM, NLP, and generative AI applications
  • Develop scalable APIs, microservices, and distributed systems
  • Create data pipelines and implement MLOps best practices for model deployment and monitoring
  • Develop quantitative models, financial analytics, and simulation tools
  • Build real-time market data processing and financial analytics solutions
  • Write production-quality, scalable, and maintainable code
  • Collaborate with business stakeholders, quants, data engineers, and product teams
Required Technical Skills
  • Languages: Python, Java, C++, Scala, SQL
  • Experience with REST APIs, microservices, Git, and modern development workflows
Preferred Qualifications
  • Experience with RAG architectures, LLM fine-tuning, and AI agents
  • Knowledge of quantitative finance, derivatives, risk management, or portfolio analytics
  • Experience with financial engineering libraries (QuantLib, pandas, NumPy)
  • Familiarity with MLOps tools such as MLflow or Weights & Biases
  • CFA, FRM, or other financial certifications are a plus
  • Experience with reinforcement learning, real‑time streaming, or low‑latency systems is a plus
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