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Client Assets - Senior Java Engineer (Vice President) - Reg, Tax & Client Assets Engineering

Goldman Sachs

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Job Summary


Job Type
Permanent

Seniority
Senior

Years of Experience
Information not provided

Tech Stacks
Spring
Hazelcast
kafka
SQL
Hadoop
Java

Job Description


How You Will Fulfill Your Potential

RESPONSIBILITIES AND QUALIFICATIONS

  • Design and implement new securities segregation flows, crucial in following banking regulatory requirements while caring for firm’s liquidity
  • Use primarily Java and SQL to develop effective data processing and calculations. You might be also expected to work with Spring, Kafka, Hazelcast technology stack to develop subset of flows
  • Solve challenging technical problems. Ensure data correctness while processing of millions of rows a day
  • Build relationships with end users to understand the business and suggest improvements to existing tools and processes
  • Works as part of global team spread across Singapore, Warsaw, New York and London
  • Gain gradually a comprehensive understanding of financial instruments across multiple asset classes
  • Working Style: Agile/Scrum
  • User Team Location: Singapore, Warsaw, London, New York
  • Tech Team Location: Singapore, Warsaw, London, New York
  • Direct Team Size: 5

Skills And Experience We Are Looking For

  • Strong technical skills (Java, DB2 database, scripting) with extensive experience in design & hands-on coding following SDLC standards
  • Prior experience with people management
  • Fast learner who can pick up existing applications (functionally & technically)
  • Prior experience leading & delivering projects independently and working in global project team setup
  • Work closely with Operations users globally to handle day to day support & function
  • Experience of being a support escalation point and handling more significant support issues
  • Ability to work with users on prioritisation
Preferred Qualifications

  • Experience or a strong interest in investment banking or financial products is a plus
  • Experience with big data concepts (we use Hadoop for Data Lake)
  • Experience with near real time transactional systems like Kafka
  • Experience in BPMN and user workflow based systems

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