Principal Quant Developer

What you'll do

• Design and implement quantitative models for systematic financial investments using Python.
• Develop high-quality, scalable software solutions for alpha research, portfolio construction, and risk management.
• Construct and manage robust data pipelines and event-driven workflows using SQL and batch scheduling tools.
• Build and maintain production-grade REST APIs using frameworks like FastAPI and Flask.
• Design and deploy cloud architecture on AWS using services such as Lambda, S3, and EKS.
• Implement CI/CD pipelines and manage infrastructure as code using Jenkins, GitHub, and Docker.
• Operationalize ML models and LLM-based workflows using MLOps principles and AWS SageMaker.
• Translate quantitative research requirements into production-ready software throughout the full development lifecycle.

What we're looking for

• Bachelor's degree in a relevant field and six years of experience as a Senior Quant Developer.
• Master's degree in a relevant field and four years of experience as a Lead Quantitative Development.
• Expert in Python with full-stack experience, OOP, design patterns, and unit testing frameworks.
• Strong knowledge of mathematics, statistics, and quantitative finance including probability, linear regression, and time series analysis.
• Experience building production quant solutions for systematic investing using Python, PL/SQL, and optimization libraries (preferred).
• Skilled in SQL (Oracle), batch scheduling (Autosys, Airflow), REST APIs (FastAPI, Flask), and AWS cloud architecture.
• Experience with Docker, Jenkins, GitHub, and Infrastructure as Code methodologies.
• Experience operationalizing ML models and LLM-based workflows on AWS using MLOps principles (preferred).