Software Developer

- Design, develop, and maintain high-quality, scalable Python applications for business-critical risk systems. - Build and enhance data pipelines for trade data ingestion and distribution across internal and external systems. - Develop systems to normalize and stream trade data from trading platforms such as Bloomberg, Fidessa, and SpiderRock. - Build solutions for trade data feeds to third-party platforms ensuring booking accuracy and regulatory compliance. - Develop analytics and services to help investment teams monitor risk exposure, P&L, and capital efficiency. - Automate trading operations such as trade reconciliation, position monitoring, and expiry management for options and futures. - Collaborate closely with trading, quantitative research, and technology teams to gather requirements and deliver solutions. - Participate in architecture discussions, system design, and performance optimization. - Provide Level 2 production support and help resolve operational issues. - Mentor junior developers and contribute to best engineering practices.

- Bachelor's degree in Computer Science or a related discipline. - 4+ years of experience in Python development, preferably in the financial services industry. - Strong experience with data processing and backend development in Python. - Good knowledge of SQL and database technologies. - Understanding of financial instruments such as Equity, FX, Credit, or Rates. - Strong problem-solving ability and communication skills. - Ability to work effectively in a collaborative, fast-paced environment. Good to Have: - Experience with FIX Protocol. - Background in data engineering using tools like Pandas, R, or Julia. - Experience with KDB+/q or time-series financial data platforms. - Exposure to trading systems, risk management platforms, or capital markets technology.