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Regional Credit Fraud Risk Unit ensures that the Bankâ€™s Credit Lending Business are protected with a robust Anti-Fraud Framework to Prevent, Detect and Deter any attempt of fraud in the various stages in our Credit Lifecycle, thereby ensuring a healthy credit product portfolio for the Bank. We also work to establish and maintain a good standing with our customers and business partners to develop and continually enhance the customer experience whilst upholding the value of trust and integrity for all our stakeholders.
This is a newly formed specialist position in the Regional Credit Fraud Risk Management Unit. The purpose of which is to ensure that the team is optimising the system and it rules to effectively Prevent, Detect and Deter any application Fraud vis data driven approach and enabling proactiveness to the fast-changing fraud trends in the market.
This role is well balance between data analytics and strategic planning and incumbent would be expected to provide comprehensive justification for changes to our strategies.
Review and optimize the rules in INSTINCT &/or HUNTER for Application Fraud Monitoring for the region, so to maintain a balance in the trigger volume to address the expected risk coverage; thereby maintaining an efficient and acceptable False-Positive ratio.
Ensure coverage on products and its respective acquisition channels and that there are enough data points available to put in place effective triggers for applications review purposes.To perform periodic and timely review based on major fraud incidences to put in place required rules to effectively detect and prevent such fraudulent attempts.
Work in conjunction with other business partners to recommend segmentation, rule and scoring changes, and ensure they are tested appropriately prior to implementation.
Provide guidance and support to our partners and work closely with Middle Office Technology on changes or updates to application fraud detection platform.
Support and respond to Audit and Regulatory issues, as well as on the investigation of urgent suspicious cases that may arise
Create and automate regular reporting, and perform MIS extraction as and when required
Act as SME on the Credit Fraud Management related area and provide expert advice related to the Credit Lifecycle to our business partners.
Also engage with all regional country teams in setting up a standard data lake creation for a future state fulfilment
Support all project and initiatives digitally and in the traditional channels on enhancing trends, early signs, correlation and portfolio behaviour.
Bachelorâ€™s degree or any equivalent work experience in quantitative fields (Analytics, Statistics, Computer Science, etc).
Working knowledge of SQL and R, with Python as an added advantage
Experience with Physical and Behavioural detection systems
Strong analytical skills with an investigative mindset
Broad and in-depth knowledge in Credit Lending and Banking products, services and data
Strong interpersonal skills, professionalism and teamwork awareness
Detail-oriented with excellent organizational skills
A proactive approach to tasks & responsibilities
Strong communication, written and verbal in English.
Familiarity to banking products. offerings
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.