Remote Senior Quantitative Developer – AI/ML Finance

Aktra; McLean (VA); On-site; USD 150,000 - 230,000; Full time

Job summary

Aktra is seeking an experienced remote Senior Quantitative Developer to design and build AI-powered financial applications. The role emphasizes scalable APIs, LLM-enabled workflows, and real-time data processing with modern software practices.

You will collaborate with quants, data engineers, and product teams to deliver high-performance financial analytics, simulations, and risk tools, leveraging Python, Java, C++, and Scala across cloud platforms.

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)

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

Skills

Python

Java

C++

Scala

SQL

APIs & AI-powered apps

Education

Bachelor's degree preferred

Master's or PhD in quantitative field a plus

Tools

REST APIs

Git

Job description

Aktra is seeking an experienced remote Senior Quantitative Developer to design and build AI-powered financial applications. The role emphasizes scalable APIs, LLM-enabled workflows, and real-time data processing with modern software practices.

You will collaborate with quants, data engineers, and product teams to deliver high-performance financial analytics, simulations, and risk tools, leveraging Python, Java, C++, and Scala across cloud platforms.