Fraud Risk Data analyst
3 weeks ago
1. Job Overview
We are looking for a Fraud Risk Analyst to be responsible for identifying and remediating potential mules/scam-related risks within the 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.
2. 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
3. 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
4. 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.
Tell employers what skills you have
Pandas
Analytical Skills
Information Management
Mathematics
JavaScript
SQL
Attention to Detail
Python
Fraud
Banking
Excel
Statistics
Data Science
Microsoft Word
Data Analytics
Fraud Risk Management
Matplotlib
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