Senior Fraud Modeler

A. Analytics and Reporting

Lead the evaluation and enhancement of fraud risk models to support business strategies and operational process with data sets.
Lead the preparation fraud management reports on demand.

B. Fraud Modeling

Collaborate with key stakeholders to build and implement fraud risk models.
Develop, maintain and implement fraud risk models including stress test models for fraud risk measurement.
Oversee qualitative and quantitative validation of fraud management models.
Determine the need for adjustments and quality improvements to fraud management processes.
Lead the technology 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.

C. Projects Management

Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
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

Mentor and coach team of Fraud Modelers to become competent Senior Fraud Modelers.
Identify and encourage areas for growth and improvement within the team and support with personal development plan.

Domain Expertise

8 to 12 years of relevant experience in a bank or financial institution
Extensive experience in data analysis, designing, implementing and recommending fraud risk models
Extensive experience in data modelling and producing reports from data stored in the current systems
Extensive experience in fraud risk model development using programming languages (e.g. R, Matlab, SAS, SQL, VBA, Python)
Extensive experience in communicating complex analysis and models across diverse teams
Experience in applying credit related regulatory requirements in banking or financial institutions
Experience in creating innovative solutions to resolve complex risk management problems / challenges
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 or Master 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.