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Job Location | Belfast |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent , full-time |
Overview of Citi:Citi, the world leading global bank, has approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. Citi provides consumers, corporations, governments and institutions with a broad range of financial productsand services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Citi enables clients to achieve their strategic financial objectives by providing them with cutting-edgeideas, best-in-class products and solutions, and unparalleled access to capital and liquidity. About the Team:As one of the principal players in the worlds financial markets, Citi is involved in conducting millions of trading events every day. We have a responsibility to the financial regulators, our clients and ourselves to identify and prevent fraudulent, maliciousor erroneous behavior. Citi is building a distributed data platform to drive its surveillance functions by acquiring the trading events and enrichment data required for a combination of rule-based and advanced feature-based surveillance algorithms. The volume and variety of datainvolved in these surveillances and the complexity of the algorithms results in one of most challenging and appropriate use cases for big data technologies. The Big Data Development Team is rapidly establishing itself in Belfast - the global centre for Citis Trade Surveillance software development with the full SDLC from business requirements through to production support. To aid in the growth of the team we are looking to bring in a senior Big Data / Java engineer to help to build next generation surveillances using cutting edge techniques. This is a significant opportunity for an experienced developer or engineer with experiencein modern data platforms to move into a role working with a variety of development teams, including close collaboration with an on-site data science team. Technologies and Languages: