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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.
Job Responsibility:
Design, develop and maintain high performing fault-tolerant Python (& C#/.NET) micro-services, in order to deliver a seamless user experience for our clients
Work with Traders and Risk Managers to gather requirements, perform analysis and develop functionality
Assist with SL3 to resolve production issues
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
Collaborate and work effectively with global teams
Work on integrating other libraries such as Market Data, Trade Repository, Analytics into the Risk Platform
Stay updated with latest trends and developments in technology
Requirements:
Experience working within a Front-office derivatives environment is essential (Front Office risk preferred)
A history of interacting with the trading desks and ability to analyse and address issues and queries quickly and effectively
Proven recent hands-on experience with Python (and ideally C#) plus SQL Server and/or Parquet
Evidence of strong delivery throughout the entire lifecycle
Strong problem-solving skills and capability to write code quickly and accurately to troubleshoot production issues
Nice to have:
Commodities Risk background
What we offer:
27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources
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