Python Risk Developer - Vice President

• Understanding of the risk greeks, products (Options, Futures, Exotics) and market data (curves, fixings/settlements, etc) ideally within a commodities business context.

• Services Development and maintenance: Design, develop and maintain high performing fault-tolerant Python micro-services, in order to deliver a seamless user experience for our clients.

• Stakeholder Management: Work with Traders and Risk Managers to gather requirements, perform analysis and develop functionality. Assist with SL3 to resolve production issues.

• Collaboration with internal technology teams: Collaborate with the Markets Quantitative Analytics (MQA) team who develop analytics pricing models to integrate with the Risk Platform and with the Commodities Market Data (CMD) team.

• Collaboration with Global Teams: The Commodities Technology team in Citi is spread across various geographies worldwide and a key responsibility is to collaborate and work effectively with these global teams.

• Integration with other supporting libraries: Work on integrating other libraries such as Market Data, Trade Repository, Analytics into the Risk Platform.

• Continuous Learning: Stay updated with latest trends and developments in technology.

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

The Commodities trading business at Citi has grown significantly in the last 10 years to become one of the leading industry players. It is a federated business model that covers market-making across all types of assets including Oil, Gas, Power, Agriculture, Emissions, Metals, Freight, Exotics and Indices.

This role is within the London Commodities Risk Technology team, focussing on our front-office trading platform. This proprietary trading platform is currently going through an exciting re-engineering phase and we are seeking to build out the development team.

This front-office risk system calculates large volumes of results data, so there are considerable challenges in data modelling, distributed processing & grid computing. Hence, we require a seasoned developer who can efficiently design and develop micro-services and components which can handle and process large amount of data with optimal performance. The application the candidate will be developing is a highly-distributed Python-based micro-services platform that uses RabbitMQ for transport and Openshift/Kubernetes for deployment.

We are committed to hiring the brightest and best technical experts and in return can offer roles with direct business interaction and day-to-day usage of the latest technology.

• Ideally from a Commodities Risk background, though any front-office derivatives experience useful.

• A history of interacting with the trading desks and ability to analyse and address issues and queries quickly and effectively.

• Recent hands-on experience with Python plus SQL Server and ideally some Parquet exposure.

• Evidence of strong delivery throughout the entire lifecycle.

• Strong problem-solving skills and capability to write code quickly and accurately, plus experience of troubleshooting production issues.

• Experience of working with an analytics library.