Senior Quantitative Developer

AKTRA INC.

McLean, VA, United States

25 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

1 year minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Clean Code Principles Java (Programming Language) Artificial Intelligence Airflow Amazon Web Services Software Applications Microsoft Azure C++ (Programming Language) Computer Programming Continuous Integration DevOps Distributed Systems

+31 more

Python (Programming Language) PostgreSQL Machine Learning MongoDB NumPy Performance Tuning Redis Tensorflow Standard Sql Scala (Programming Language) Software Engineering Data Streaming Reinforcement Learning Pytorch Large Language Models Apache Spark Software Application Programming Git Pandas Scikit Learn Kubernetes Low Latency HuggingFace Apache Kafka Machine Learning Operations Virtual Agents Api Design Restful APIs Data Pipelines Docker Microservices

Job description

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
AI/ML: PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LLMs
Cloud & DevOps: AWS, Azure, or GCP; Docker, Kubernetes, CI/CD
Data: Spark, Kafka, Airflow, PostgreSQL, MongoDB, Redis
Experience with REST APIs, microservices, Git, and modern development workflows

Requirements

We are seeking an experienced remote Senior Quantitative 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), * 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