AtCiti , we connect millions of people across hundreds of cities and countries every day. We do this through our unparalleled global network, providing a broad range of financial services and products to our clients – whether they be consumers, corporations, governments, or institutions – to help them meet their biggest opportunities and face the world's toughest challenges.
We're currently looking for a high caliber professional to join our team asFraud Data Engineer - Hybrid(Internal Job Title: Fraud Risk Intmd Analyst - C11) based in KL, Malaysia. Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decisions, and manage your financial well-being to help plan for your future.
The team is Analytics Innovation, a global analytics unit under Global Internal Fraud Analytics. The team focuses on conducting innovation and implementation of data pipelines, data structures, BigData Sandbox, detection routines, advanced algorithms, AI/ML models, and Fraud Analytics. The current role is the senior data scientist lead who reports to the Internal Fraud Innovation/Analytics Head.
ResponsibilitiesUnder the supervision of the 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 the latest fraud trends, fraud risk and gap analysis, and review and obtain new data sources for fraud detection, including data engineering.
Engage and work closely with the Regional Internal Fraud Analytics Intelligence Head, supporting the timely and accurate delivery of sandbox implementation and simulation of all detective routines, as well as following up with the regional technology development and support team on the testing and deployment of the routines in the 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 the Internal Fraud Governance and Control team on design, implementation, execution, and automation of change processes, data quality monitoring projects.
Attend evening or night calls with stakeholders and technology support teams if needed.
Qualifications3-4 years of work experience.
2+ years of experience in data engineering, Hadoop development, advanced analytics, or modeling.
Proficient in data analytics programming: Spark, SQL, Python, etc.
Experience in data management such as data pipelines, data structures, and data quality governance.
Experience in fraud analytics and familiarity with the latest fraud trends in the banking industry.
Hands-on experience with visualization tools such as Power BI, Tableau, QlikView.
AI/Machine Learning project experience is not a must but a plus.
Proficient in both spoken and written English.
EducationBachelor's degree/University degree or equivalent experience.
Job Family Group:Risk Management
Job Family:Fraud Risk
Time Type:Full time
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