Fraud Risk Manager
Singapore - OneNorth
GXS Bank
Say hello to a better way to bank. Enjoy up to 3.28% p.a. daily interest with GXS Savings Account. Get instant cash from 0% interest with GXS FlexiLoan.Reporting to the Head of Credit & Fraud Risk, this is a Second Line of Defence role under the Risk Management function. The role is responsible for setting the fraud risk policy and procedures for the Bank, working with the business functions to carry out fraud risk assessments, devise and implement fraud rules, etc.
Job Responsibilities:
Delivering superior financial performance while minimizing potential losses:
Develop and maintain the Fraud risk policies and procedures for the Retail portfolio
Work with the business functions to ensure adequate risk assessment of new products and programs.
Monitor new business as well as the existing portfolio, to identify new and emerging risks
Work with analytics personnel to help devise fraud rules / models.
Monitor the Fraud Landscape in Singapore to keep abreast of developing fraud methodology.
This includes development of standard processes, templates and training for fraud risk management.
Conduct any independent or thematic review as required.
Define roles and responsibilities for retail fraud risk management, and maintain inventory of critical roles.
Define and monitor key activities related to fraud risk management and monitoring
Assist in regulatory and business stress tests on an ongoing basis
Keep abreast of the regulatory landscape in Singapore particularly on economic outcomes, global economic impacts and regulatory changes related to financial institutions.
Participate in Risk Management working groups and committee forums.
Develop metrics and reporting dashboards for leadership.
Collaborate with cross functional groups to execute upon the deliverables and serve as a thought leader on critical initiatives related to fraud risk management.
Conduct training activities to promote the understanding of fraud risk management requirements, working mechanics and risk/ control awareness.
Benchmark against best practices and industry standards.
Our Ideal Candidate
8 - 10 years of work experience with a Bachelor’s degree or better (preferably in a quantitative field).
Good understanding of technology and retail products in the digital banking space. Familiar with modern and emerging technology techniques and an interest to stay abreast of industry developments (e.g. device intelligence systems, analytical tools and techniques).
Experience in implementing the three lines of defense concepts and its application related to fraud risk policy.
Experience with risk identification, assessment, and mitigation of material risk.
Experience with risk models and ideally ML / Artificial intelligence models.
Possess strong influencing, communication, and presentation skills. Confident, able to work independently and possess the courage to challenge product development teams and risk decisions made by senior stakeholders, if deemed inappropriate.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Fraud risk Machine Learning
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