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Citi Group Assistant Vice President Fraud Data Engineer - Hybrid Malaysia, Kuala Lumpur 815623265
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•Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
•(Optional) We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
•Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
•We have a variety of programs that help employees balance their work and life.
Responsibility
Under the supervision of Global Internal Fraud Innovation Head, collaborate with a team of core data scientists based globally in advanced analytics innovation and implementation for all regions.
Assist Regional Internal Fraud Analytics Intelligence teams to perform analysis on latest fraud trend, fraud risk and gap analysis, and review and obtain new data source for fraud detection including data engineering.
Engage and work closely with Regional Internal Fraud Analytics Intelligence Head, support the timely and accurate delivery of sandbox implementation and simulation of all detective routines, as well as following up with regional technology development and support team on the testing and deployment of the routines in Production environment.
Conduct advanced analytics/algorithm research and innovation. Work closely with Regional Intelligence and Ops teams on the delivery of dashboards.
Work closely with Internal Fraud Governance and Control team on design, implementation, execution and automation of change process, data quality monitoring project.
Attend evening or night call with stakeholders and technology support teams if needed.
Qualifications
5-6 years of work experience.
3+ years of experience in data engineering, Hadoop development, advanced analytics or modeling.
Has project experience on data management such as data pipeline, data structure and data quality governance.
Experience in fraud analytics and familiar with latest fraud trend in banking industry.
Proficient in data analytics programming: Spark, SQL, Python etc.
Proficient in visualization tools such as Power BI, Tableau, QlikView.
Has AI/ Machine Learning project experience is not a must but a plus.
Proficient in both spoken and written English.
Education
Bachelor’s degree/University degree or equivalent experience
Time Type:
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