Job Description
A. Analytics and Reporting
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Lead the evaluation and enhancement of fraud risk models to support business strategies and operational process with data sets.
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Lead the preparation fraud management reports on demand.
B. Fraud Modeling
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Collaborate with key stakeholders to build and implement fraud risk models.
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Develop, maintain and implement fraud risk models including stress test models for fraud risk measurement.
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Oversee qualitative and quantitative validation of fraud management models.
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Determine the need for adjustments and quality improvements to fraud management processes.
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Lead the technology implementation of complex risk and stimulation systems as well as generate fraud risk scenarios.
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Stay updated on the latest trends and evolutions within risk platforms and related technologies.
C. Projects Management
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Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
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Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analysis to improve practices for maximum productivity.
D. Talent Development
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Mentor and coach team of Fraud Modelers to become competent Senior Fraud Modelers.
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Identify and encourage areas for growth and improvement within the team and support with personal development plan.
Job Requirement
Domain Expertise
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8 to 12 years of relevant experience in a bank or financial institution
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Extensive experience in data analysis, designing, implementing and recommending fraud risk models
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Extensive experience in data modelling and producing reports from data stored in the current systems
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Extensive experience in fraud risk model development using programming languages (e.g. R, Matlab, SAS, SQL, VBA, Python)
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Extensive experience in communicating complex analysis and models across diverse teams
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Experience in applying credit related regulatory requirements in banking or financial institutions
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Experience in creating innovative solutions to resolve complex risk management problems / challenges
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Strong knowledge of Information Security principles to ensure compliant handling and management of data
Agile / Digital Experience
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Understanding of Agile principles, practices and scrum methodology
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Experience working in Agile teams to support digital transformation projects is an advantage
Qualifications
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Bachelor's or Master degree in Banking, Finance, Economics, Risk Management, Statistics, Mathematics or Quantitative Analysis
Personal Attributes
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An investigator with experience in handling a range of vulnerabilities and fraud scenarios.
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A good story teller who can make data meaningful for others, turning numbers into meaningful patterns.
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Self-motivated with a challenger mindset and never content to do the same things.
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Believes in non-hierarchical culture of collaboration, transparency and trust across the team.