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MYS CTSM KL - Fraud Analyst Senior Supervisor

Job Req ID 21332276 Primary Location Kuala Lumpur, Malaysia Job Category Risk Management
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The Fraud Risk Senior Supervisor provides leadership and supervisory responsibility for medium-sized operational/administrative team(s)) of clerical/support employees. Good understanding of procedures and concepts within own technical/subject area and a basic knowledge of other areas in order to understand how they relate to own area. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Improves process efficiencies in support of unit objectives. Requires a basic conceptual/ practical grounding in policies as they apply to the business. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Typically deals with variable issues with potentially broader business impact. Influences decisions through advice, counsel, facilitating services to others or through joint accountability for volume, quality and timeliness of end results. No direct responsibility for financial or resource planning. Work generally affects own team as well as other closely related work teams. Full supervisory responsibilities. including duties such as performance evaluation, compensation, hiring, disciplinary and terminations as well as direction of daily tasks and responsibilities.

Responsibilities:

  • Be partner with technology function for data management including new data acquisition, data model design, and data quality investigation in Hadoop ecosystem. Conduct UAT testing and documenting the solution designed to meet the risk and process control standard of Citi.
  • Under the supervision of senior fraud analytics manager, you will work with regional and global analytics team, conduct and deliver fraud analytics project in Hadoop ecosystem across a big variety of large datasets, understand fraud / risk elements and pattern, and design corresponding analytical solution using Python, Spark, Hive programming.
  • Analyze fraud trends, conduct investigative Research into losses, and analyze loss type data to determine fraud patterns.
  • Performs data validation independently in support of fraud management personnel
  • Assist in executing the business strategy by developing and producing Management Information Systems and analyses
  • The candidate is required to design internal fraud detection rules and perform ad hoc data analysis. This has been significantly expanded to require the candidate in conducting research on machine learning, which is a very technical modeling area. The candidate will also be responsible for the implementation of the model.


Qualifications:

  • 5-7 years of experience in a related role in Data mining and statistical analysis
  • Hands-on SQL programing and Advanced Excel.
  • Knowledge in BigData and Machine Learning is an added advantage
  • Professional presentation skills especially in front of large group of audience
  • Being able to collaborate with both technical and business stakeholders
  • Consistently demonstrates clear and concise written and verbal communication.
  • Demonstrated ability to remain unbiased in a diverse working environment


Education:

  • Bachelor/Master in Mathematics/Statistics/Computer Science/Engineering/ that is able to demonstrate solid data and analytical skills;


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Job Family Group:

Risk Management

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Job Family:

Fraud Risk

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Time Type:

Full time

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