DATA/ML ENGINEER WITH PYTHON
Description
:About Regulation, Compliance & Anti-Financial Crime Tech (RCA)
Our RCA team is responsible for protecting the bank from financial and reputational losses incurred by financial crimes by assessing, controlling, and mitigating risks. Risk types related to Anti-Financial Crime are consolidated in a comprehensive and effective risk management framework that covers Anti-Money-Laundering, Sanctions & Embargoes, Anti-Bribery & Corruption as well as Anti-Fraud & Investigations.
Your profile
The position demands technical maturity in terms of design and implementation decisions, with overall vigilance of quality. You must have proven experience developing with the tools stack described below in a collaborative scrum of scrums environment. The key result area of this position is team’s ability to deliver high quality code which is testable, maintainable and meets all the business requirements.
Experience with Hadoop ecosystem, performance optimization, development, deployment and maintaining code in production is required, with a preferable previous exposure to financial services / banking and
- financial crime concepts. This job is
- suited to people who have
- solving skills, work well as part of a team, and can manage their time effectively to meet deadlines and keep to projected schedules.
- fraud detection solutions and models using Python and Py
Spark; ability/willingness to learn how to improve them with machine learning algorithms and models
- side code
- performance culture
Spark), HDFS, Hive, YARN, Kerberos
Spark for processing large data volumes
Ops practices like CI/CD
Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance.
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