We are seeking a Senior Backend Engineer with strong quantitative skills to design, maintain and scale advanced algorithmic systems. You’ll build predictive models, optimize real-time decision engines, and ensure low-latency, production systems.

Responsibilities

• Architect, build, and maintain backend services for real-time algorithmic decision-making
• Implement and optimize complex predictive models, pattern recognition and statistical algorithms
• Own solutions end-to-end: from concept to production-grade systems
• Collaborate closely with researchers to translate models into scalable code
• Continuously learn and apply new technologies and quantitative methods

Qualifications

• Degree in Math, Statistics, Physics, Computer Science, or another highly quantitative field
• 3+ years of backend engineering experience (Python, Go, Java, or similar)
• Fluency in Python is required (not necessarily expert, but comfortable and capable)
• Capable of quickly understanding, modifying, and extending existing complex codebases you did not write
• Versatility to operate as both a “hacker” (fast prototyping) and “engineer” (production-ready solutions)
• Proficiency with Python packages (NumPy, Pandas, matplotlib) and R packages (xts, data.table, mlr, caret)
• Familiarity with Rust a strong plus
• Solid foundation in probability and statistics, with exposure to methods such as time-series analysis, machine learning, pattern recognition, NLP, AI, or neural networks
• Experience working with large datasets and applied research projects
• Comfortable with Linux environments and backend/systems code

Why Join Us

• Small, fast-moving team
• Flexible work arrangements; culture of ownership and innovation
• Performance-based bonus compensation

How to Apply

• Send your resume, GitHub/portfolio links, and a short note on why this role excites you