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Quant Developer Contract Jobs in Virginia (NOW HIRING)

ThinkTek

Quantitative Analyst

Alexandria, VA · On-site

Support Planning, Programming, Budgeting, and Execution (PPBE) activities through data-driven ... contract requirements and government standards. Required Qualifications * Active Top Secret ...

BTree Solutions, Inc.

UI/UX DEVELOPER

Mclean, VA · On-site

$50.75 - $66/hr

USC, GC, H1B and EAD Contract Type: W2 Client's Financial Engineering team is seeking Developer-UX ... Bachelor's degree, ideally in Computer Science, Financial Engineering or a related quantitative ...

Pyramid Consulting, Inc.

Python Developer

Mclean, VA · On-site

$55 - $60/hr

This is a 06 months contract opportunity with long-term potential and is located in Mclean VA ... Graduate degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or ...

Edify Technologies, Inc.

Java Backend Developer

Mclean, VA · On-site

$55 - $60/hr

Contract Payrange : $55- $60/hr Benefits for Eligible Employees - Health Insurance, Paid Time Off ... quants. Preferred Qualifications: * Familiarity with Java 21 features and modern asynchronous or ...

Prolim Global

Engineering Technician

Newport News, VA · On-site

$24.04 - $31.63/hr

Contract Position Overview We are seeking an Engineering Technician to provide technical support to ... quantitative assessments of technical data. * Utilize computer software applications to perform ...

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All JobsQuant Developer Contract JobsQuant Developer Contract Jobs in Virginia

Quant Developer Contract information

What is the difference between Quant Developer Contract vs Quant Analyst?

AspectQuant Developer ContractQuant Analyst
Required CredentialsTypically requires a degree in finance, mathematics, or computer science; programming skills in Python, C++, or JavaUsually requires a degree in finance, economics, or mathematics; strong analytical and modeling skills
Work EnvironmentProject-based, short-term contracts, often in trading firms or hedge fundsFull-time, ongoing roles within financial institutions or asset management firms
Employer & Industry UsageCommon in hedge funds, proprietary trading firms, and financial technology companiesWidely used in investment banks, asset managers, and financial consulting firms

In summary, Quant Developer Contract roles focus on developing and implementing trading algorithms on a temporary basis, requiring strong programming skills. Quant Analysts typically perform ongoing quantitative research and modeling in a full-time capacity. Both roles share similar educational backgrounds but differ mainly in employment type and work environment.

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What are popular job titles related to Quant Developer Contract jobs in Virginia? For Quant Developer Contract jobs in Virginia, the most frequently searched job titles are:
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What cities in Virginia are hiring for Quant Developer Contract jobs? Cities in Virginia with the most Quant Developer Contract job openings:
Quant Developer Contract jobs near you

AI & Financial Engineering Developer

CogniSoft Technologies

Mclean, VA • On-site

Other

Posted 3 days ago

Job description

Position :  AI & Financial Engineering Developer
Location : McLean, Virginia (Hybrid)
Duration : 12 months
 
MUST HAVE:
Must Have Qualifications:
  • 7+ years of software development experience, including experience with API development, AI application development, and programming languages such as Python, C++, and Scala.
  • Candidates should have 1-3 years of financial industry experience, with exposure to large language models (LLMs) and agentic AI development is a strong plus. A degree is preferred but not required.
  • Prior experience with Fannie or Freddie is a strong plus.
 
Job Description: AI & Financial Engineering Developer
Position Overview
  • We are seeking a highly skilled AI & Financial Engineering Developer who combines deep
expertise in artificial intelligence/machine learning with quantitative finance and financial
engineering.
  • This hybrid role is ideal for a technologist who thrives at the intersection of cutting-
edge AI and complex financial systems.
 
Key Responsibilities
AI & Machine Learning
* Design, develop, and deploy machine learning models and AI-powered applications for
financial use cases
* Build and optimize deep learning, NLP, and generative AI solutions
* Develop data pipelines and feature engineering frameworks for model training and
inference
* Implement MLOps best practices including model versioning, monitoring, and continuous
deployment
* Stay current with state-of-the-art AI research and evaluate applicability to financial
domains
 
Financial Engineering
* Develop quantitative models for pricing, risk management, and portfolio optimization
* Implement algorithmic trading strategies and backtesting frameworks
* Build financial simulation engines (Monte Carlo, stochastic modeling, etc.)
* Design and develop derivatives pricing models and fixed-income analytics
* Create real-time market data processing and analytics systems
 
Software Development
* Write production-quality, scalable, and maintainable code
* Architect and build high-performance distributed systems
* Develop RESTful APIs and microservices for financial applications
* Implement robust testing, CI/CD pipelines, and documentation practices
* Collaborate with cross-functional teams including traders, quants, risk managers, and data
engineers
 
Required Qualifications
* Education: Master’s or PhD in Computer Science, Financial Engineering, Quantitative
Finance, Mathematics, Physics, or a related quantitative field
* Experience: 7+ years of professional software development experience, with at least 3
years in AI/ML and 2+ years in financial services or fintech
* Programming Languages: Expert proficiency in Python; strong skills in C++, Java, or Scala
* AI/ML Expertise: Hands-on experience with TensorFlow, PyTorch, scikit-learn, and large
language models (LLMs)
* Financial Knowledge: Strong understanding of financial instruments (equities, fixed
income, derivatives, structured products), market microstructure, and quantitative risk
measures (VaR, Greeks, CVA)
* Mathematics: Advanced knowledge of stochastic calculus, linear algebra, probability
theory, and numerical methods
* Data & Infrastructure: Experience with SQL/NoSQL databases, cloud platforms (AWS,
Azure, or Google Cloud Platform), and big data technologies (Spark, Kafka)
 
Preferred Qualifications
* CFA, FRM, or equivalent financial certification
* Experience with reinforcement learning applied to trading or portfolio management
* Knowledge of blockchain/DeFi protocols and smart contract development
* Familiarity with regulatory frameworks (Basel III/IV, MiFID II, Dodd-Frank)
* Publications in AI/ML or quantitative finance journals
* Experience with real-time streaming systems and low-latency architectures
* Proficiency with LLM fine-tuning, RAG architectures, and AI agents for financial
Applications

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