Job Description
A. Analytics and Reporting
-
Evaluate and enhance fraud risk models to support business strategies and operational process with data sets.
-
Build and implement policies, tools, methods for fraud management (measurement and control fraud prevention).
-
Recommend and collaborate with operational risk unit to build policies, procedures and guidelines on fraud management.
-
Prepare fraud management reports on demand.
B. Fraud Modeling
-
Collaborate with key stakeholders to build and implement fraud risk models.
-
Maintain and implement fraud risk models including stress test models for fraud risk measurement.
-
Conduct qualitative and quantitative validation of fraud management models.
-
Assess the need for adjustments and quality improvements to fraud management processes.
-
Support IT implementation of complex risk and stimulation systems as well as generate fraud risk scenarios.
-
Stay updated on the latest trends and evolutions within risk platforms and related technologies.
Job Requirement
Domain Expertise
-
6 to 8 years of relevant experience in a bank or financial institution
-
Experience in data analysis, design and implementation of fraud risk models
-
Experience in data modelling and producing reports from data stored in the current systems
-
Experience in fraud risk model development using programming languages (e.g. R, Matlab, SAS, SQL, VBA, Python)
-
Experience in communicating complex analysis and models
-
Experience in conducting risk and financial analysis in banking or financial institutions
-
Strong knowledge of Information Security principles to ensure compliant handling and management of data
Agile / Digital Experience
-
Understanding of Agile principles, practices and scrum methodology
-
Experience working in Agile teams to support digital transformation projects is an advantage
Qualifications
-
Bachelor's degree in Banking, Finance, Economics, Risk Management, Statistics, Mathematics or Quantitative Analysis
Personal Attributes
-
An investigator with experience in handling a range of vulnerabilities and fraud scenarios
-
A good story teller who can make data meaningful for others, turning numbers into meaningful patterns
-
Self-motivated with a challenger mindset and never content to do the same things
-
Believes in non-hierarchical culture of collaboration, transparency and trust across the team