This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
As a Risk Analyst Expert, you will play a pivotal role in developing and maintaining sophisticated risk applications designed to estimate Profits & Losses (P&Ls). Working within a strategic Big Data ecosystem, you will translate complex quantitative methodologies into scalable technical solutions. This role is ideal for a "delivery-focused" individual who can navigate the intersection of Market Risk, Python development, and emerging AI technologies to drive business process improvements.
Job Responsibility:
Developing and Maintaining risk applications to estimate profits & losses (P&Ls) using the strategic Big Data infrastructure (HDFS, Apache Spark (PySpark), etc.), includes: Understanding quantitative methodologies and business requirements
Designing and implementing solutions that fit into the overall strategic framework
Conducting testing to ensure the appropriateness of the implementations
Maintaining the implementation to incorporate user feedback as well as performance enhancements
Utilizing AI tools and emerging technologies to enhance productivity, streamline development processes, and improve code quality while maintaining compliance and accuracy standards
Contributing ideas and concerns, and escalating issues for tactical and strategic system solutions and business process improvement
Providing effective User Acceptance Testing, ensuring the appropriate validation has occurred from Quantitative Risk Analytics and/or Model Risk
Collaborating with IT teams to build out DevOps process to enable efficient product delivery
Working with IT colleagues and other stakeholders to reach agreeable and effective solutions to complex technical problems
Assisting with business process engineering, ensuring all processes are effective, efficient
Assisting with training of team members as required
Assisting with project reporting and status updates to senior management
Requirements:
2+ years of experience in capital markets, either in Market Risk, Middle Office / Product Control or Back Office
Solid knowledge of derivative pricing (FICC, credit derivatives, equity derivatives), and market risk methodologies (eg. Greeks, VaR, ES)
Strong quantitative and analytical skills, with attention to detail
Ability to clearly communicate highly technical concepts to business stakeholders
Strong Python development skills with focus on finance use cases
Solid understanding of IT practices and ability to manage and prioritize development tasks
Results oriented with ability to work effectively under consistent time and workload pressures
Delivery focused mentality and ability to work autonomously
Nice to have:
Experience in Big Data development and toolsets (HDFS, PySpark, Spark, Scala, etc.)
Knowledge and skills in AI models and tools, such as Copilot, Agents, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Transformers, and similar emerging AI technologies
What we offer:
Strategic Impact: Contribute to high-visibility projects using cutting-edge Big Data infrastructure (HDFS, Apache Spark)
Tech Forward Environment: Opportunity to utilize and integrate AI tools (Copilot, RAG, Transformers) to enhance development productivity
Collaborative Culture: Work alongside elite IT and Quantitative Risk teams in a professional, results-oriented setting