Quantitative Developer

Key Responsibilities

• Develop and maintain infrastructure for research, signal generation, backtesting, and live trading.
• Build scalable data pipelines for ingesting and processing structured and unstructured datasets.
• Support both systematic and discretionary teams with custom tooling and analytics platforms.
• Contribute to cloud-native architecture and distributed computing environments.
• End-to-end software projects from design to deployment and monitoring.

Qualifications

• Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• 5+ years of experience as a Quant Dev.
• Strong programming skills in Python and at least one compiled language (e.g., C++, Java, Rust).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Familiarity with modern data warehousing and ETL tools (e.g., Snowflake, Databricks, Redshift).
• Ability to work effectively across multiple trading styles and asset classes.
• Excellent communication skills and a collaborative mindset.

Preferred Experience

• Prior exposure to financial markets, sports betting, or alternative data domains.
• Experience building tools for discretionary traders or analysts.
• Familiarity with real-time data processing and low-latency systems.

Why Join Us

• Work in a fast-paced, intellectually stimulating environment with direct exposure to trading and investment decision-making.
• Be part of a team that values innovation, adaptability, and continuous learning.