Senior Python Engineer – Risk Platforms

We are seeking a highly skilled Python Engineer to build and support scalable risk analytics platforms within a capital markets environment. This role focuses on developing backend systems that power high-performance risk calculations, regulatory reporting and analytics workflows across asset classes.

The ideal candidate will have strong experience in Python-based distributed systems, exposure to risk frameworks (VaR, CCR) and hands-on involvement in production-grade risk platforms.

Key Responsibilities

• Design, develop and enhance Python-based backend systems for risk analytics and reporting

• Build and optimize high-performance risk calculation engines supporting VaR, CCR and PnL workflows

• Develop scalable and distributed solutions for handling large volumes of financial and risk data

• Contribute to system architecture, performance tuning and scalability improvements

• Collaborate with front-office, risk and analytics teams to translate business requirements into technical solutions

• Support production systems (L3), including debugging, performance optimization and stability improvements

• Participate in code reviews, testing and release processes ensuring high code quality

• Contribute to greenfield platform components in an agile development environment

Must-Have Skills

• Strong experience in Core Python development (backend/system-level focus)

• Proven experience building scalable, high-performance applications

• Experience with risk analytics platforms, including:

• Value-at-Risk (VaR) including sensitivity based and full revaluation frameworks

• Counterparty Credit Risk (CCR)

• Regulatory reporting frameworks

• Strong understanding of distributed or parallel computing (grid computing, multi-threading, or similar)

• Experience with large-scale data processing and performance optimization

• Strong knowledge of data structures, algorithms and system design principles

• Working knowledge of Unix/Linux environments

Domain Experience (Critical)

• Experience working within Capital Markets / Investment Banking environments

• Exposure to enterprise-grade risk and analytics platforms, such as:

• Quartz (QZ), SecDB, Athena, Kanon, Beacon, or similar systems

• Strong understanding of:

• Risk and pricing workflows

• Trade lifecycle and PnL calculations

• Regulatory and reporting requirements

• Market risk frameworks including Full Revaluation

• Experience interacting with front-office, risk and analytics stakeholders

Good-to-Have

• Exposure to C++ or performance-critical systems

• Experience with distributed/grid computing frameworks

• Familiarity with pricing models or quantitative analytics workflows

• Experience working in global banking environments

• Understanding of FICC or Equities products