🛠 Tech Stack

💼 About This Role

You'll design and build internal tools supporting middle-office functions like trade capture and PnL reconciliation. You'll collaborate with operations, risk, and portfolio management teams to automate trade lifecycle workflows using Python and SQL. This role offers direct exposure to financial data pipelines and scalable data models for analytics.

🎯 What You'll Do

• Design and build internal tools for trade capture and PnL reconciliation
• Automate workflows across the trade lifecycle
• Develop data pipelines to ingest and transform financial data
• Optimize data models for analytics and reporting

📋 Requirements

• 2-3 years of experience in financial services development
• Strong programming skills in Python (Pandas, NumPy, PySpark)
• Experience with SQL and relational databases (PostgreSQL, SQL Server)
• Familiarity with middle-office systems and trade lifecycle

✨ Nice to Have

• Knowledge of ETL tools or custom data pipelines
• Experience with CI/CD pipelines and version control (Git)
• Experience with market data platforms or trading systems