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
Qualification:
- 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, kindly submit your updated CV in a Word Format to: [email protected]. Only shortlisted candidates will be notify. Thank you.
