Job Overview
We are looking for a Fraud Risk Analyst to be responsible for identifying and remediating potential mules/scam-related risks within the Institutional Banking Group while providing strategic support to the Fraud Review Team.
The ideal candidate should demonstrable analytical skills along with a passion for research and discovery.
Responsibilities
-Use data driven insights to improve effectiveness and recommend process optimization(s)
-Identify new and emerging fraud patterns using data analytics, reports and systems
-Escalate complex or unresolved fraud risk to stakeholders as required
-Educate stakeholders on emerging fraud threats
-Embrace new approaches to increase efficiencies, improve fraud detection and reduce risk
-Actively support the Group’s Anti-Fraud strategy and other related functions
Requirements and skills
-Self-initiated to resolve issues, with demonstrated ability to understand and identify appropriate solutions and/or alternatives
-Strong interpersonal and communication skills
-Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
-Honest and ethical with high levels of integrity and confidentiality
Qualifications
-Bachelors' degree in Mathematics, Computer Science, Information Management or Statistics or related
-1-2 years’ experience as a Data Analyst or Business Data Analyst
-Proficient in Microsoft Word, Excel, Power point
-Proficient in Python and JavaScript; experience with SQL is preferred.
-Experience with common data science toolkits, such as Pandas, NumPy, Pyppeteer, Matplotlib. Experience in ML toolkits such as scikit-learn is a plus
Interested candidates may apply through the application system. We regret to inform only shortlisted candidates will be notified.
EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971
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