Fraud Risk Specialist
Singapore - OneNorth
GXS Bank
Say hello to better banking with GXS Bank. Earn up to 2.58% p.a. & daily interest. Instant cashback. Flexible loans from 0% interest. T&Cs apply.
About GXS Bank:
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to
redefine how financial services are offered. GXS Bank is a forward-thinking financial institution
that aims to provide innovative solutions to our customers. We believe in the power of technology and data to drive financial inclusion and create a positive impact in our community.
About the job:
Reporting to the Head of Fraud Risk, this is a Second Line of Defense role under the Risk
Management function. The role is responsible for identifying and managing fraud risks, assisting to set 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.
Responsibilities:
• Delivering superior financial performance while minimizing potential losses.
• Assist with development of the Bank's fraud risk policies.
• Help review critical fraud management processes.
• Analyse internal and external data to identify potential fraud risks, and devise effective and efficient controls for preventing them.
• Configure and test fraud prevention / detection rules for customer onboarding, banking transactions, etc.
• Devise and monitor dashboards / analytics to monitor fraud rules effectiveness, customer behavioral trends, etc.
• Monitor new business as well as the existing portfolio, to identify new and emerging risks.
• Define and monitor key activities related to fraud risk management and monitoring
• Work with the business functions to ensure adequate risk assessment of new products and programs.
• Conduct any independent or thematic reviews as required.
• Participate in Risk Management working groups and committee forums.
• 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.
• Keep abreast of the regulatory landscape in Singapore particularly on
economic outcomes, global economic impacts and regulatory changes related to financial institutions.
• Monitor the Fraud Landscape in Singapore to keep abreast of developing fraud methodology.
• Benchmark bank practices against industry peers.
Requirements:
• Bachelor's degree or better (preferably in a quantitative field).
• At least five years experience in a fraud analytics role.
• Familiar with fraud and scam typologies, and common controls.
• 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.
• Ideally, experience with risk models and ML / artificial intelligence
models.
• Possess strong influencing, communication, and presentation skills.
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to
redefine how financial services are offered. GXS Bank is a forward-thinking financial institution
that aims to provide innovative solutions to our customers. We believe in the power of technology and data to drive financial inclusion and create a positive impact in our community.
About the job:
Reporting to the Head of Fraud Risk, this is a Second Line of Defense role under the Risk
Management function. The role is responsible for identifying and managing fraud risks, assisting to set 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.
Responsibilities:
• Delivering superior financial performance while minimizing potential losses.
• Assist with development of the Bank's fraud risk policies.
• Help review critical fraud management processes.
• Analyse internal and external data to identify potential fraud risks, and devise effective and efficient controls for preventing them.
• Configure and test fraud prevention / detection rules for customer onboarding, banking transactions, etc.
• Devise and monitor dashboards / analytics to monitor fraud rules effectiveness, customer behavioral trends, etc.
• Monitor new business as well as the existing portfolio, to identify new and emerging risks.
• Define and monitor key activities related to fraud risk management and monitoring
• Work with the business functions to ensure adequate risk assessment of new products and programs.
• Conduct any independent or thematic reviews as required.
• Participate in Risk Management working groups and committee forums.
• 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.
• Keep abreast of the regulatory landscape in Singapore particularly on
economic outcomes, global economic impacts and regulatory changes related to financial institutions.
• Monitor the Fraud Landscape in Singapore to keep abreast of developing fraud methodology.
• Benchmark bank practices against industry peers.
Requirements:
• Bachelor's degree or better (preferably in a quantitative field).
• At least five years experience in a fraud analytics role.
• Familiar with fraud and scam typologies, and common controls.
• 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.
• Ideally, experience with risk models and ML / artificial intelligence
models.
• Possess strong influencing, communication, and presentation skills.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Tags: Banking Fraud risk Machine Learning
Region:
Asia/Pacific
Country:
Singapore
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