Risk Developer

Key Responsibilities:

• Risk System Development: Design, develop, and implement scalable risk management systems, tools, and applications for monitoring, measuring, and reporting financial risk across asset classes (e.g., market, credit, operational, and liquidity risk).
• Model Implementation: Work with quants and risk analysts to translate complex risk models into production-ready code. Implement models such as Value-at-Risk (VaR), Expected Shortfall, stress testing, scenario analysis, and other risk metrics.
• Risk Data Integration: Design and build processes to extract, clean, and integrate financial data from various sources (e.g., market data, transaction data) into the risk systems to ensure timely and accurate risk calculations.
• System Optimization: Improve the performance and scalability of risk systems by optimizing algorithms, workflows, and database queries to handle large datasets and real-time risk calculations.
• Risk Reporting: Automate and streamline risk reporting processes to provide clear, accurate, and timely reports to management, traders, and other stakeholders. Develop dashboards for real-time risk monitoring and alerts.
• Collaboration: Partner with risk managers, traders, quants, and other development teams to understand business needs, and ensure risk systems meet functional requirements and are aligned with regulatory requirements.
• Technology Stack: Stay current with emerging technologies and industry best practices, contributing to the continuous improvement of the risk technology stack. Use programming languages such as Python, C++, Java, or similar.
• Compliance and Regulatory Reporting: Ensure risk systems meet the requirements of regulatory frameworks (e.g., Basel III, Dodd-Frank, MiFID II) by developing features for compliance and regulatory risk reporting.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Finance, or related field.
• Experience:
  • Experience in software development, particularly within risk management or financial services.
  • Strong understanding of risk management concepts and financial products (derivatives, fixed income, equities, etc.).
  • Hands-on experience with quantitative modeling or working alongside quants in developing risk models.
• Technical Skills:
  • Proficiency in programming languages such as Python, C++, Java, or C#.
  • Strong experience with database technologies (SQL, NoSQL) and data manipulation (ETL).
  • Familiarity with risk management frameworks and modeling tools (e.g., Monte Carlo simulations, VaR).
  • Experience with cloud-based platforms (e.g., AWS, Azure) is a plus.
  • Experience with large-scale data processing and real-time systems is desirable.
• Problem-Solving: Strong analytical and problem-solving skills, with a keen attention to detail in developing complex systems.
• Communication: Excellent verbal and written communication skills to explain technical concepts to non-technical stakeholders.
• Team Player: Ability to collaborate effectively in a fast-paced, cross-functional team environment.