Team Member-Fraud Risk Analytics-SUPPORT SERVICES-Fraud Risk Management Unit

• Conceptualize and implement early warning triggers & strategies from fraud perspective in both assets and liabilities
• Develop analytics to identify suspected frauds in both credit and non-credit areas
• Monitor efficacy of the analytical / predictive models implemented and advise updations/modifications 
• Monitor effectiveness of triggers and rules set for fraud identification and suggest refinements/additional rules to improve efficacy and accuracy
• Design fraud monitoring framework through data analytics and collaboration with first line of defense
• Analyze historical data on EWS, RFA and credit frauds across industry to develop and implement EWS triggers
• Interpret data and present actionable insights to key stakeholders
• Lead collaboration between stakeholders – RCU, product, analytics, IT, BSG & business to design/implement solutions w.r.t. Fraud identification and monitoring

• Monitor & maintain fraud analysis solutions / models to improve efficiency & effectiveness
• Collaborate with FinTechs / external vendors for exploring on new ideas / innovations and implement the same

Presentation to relevant committees and senior management

• Candidate should have minimum 5-6 years’ experience in analytical/statistical modelling and data analytics in Fraud Risk with overall experience of at least 8 years. 
• Prior experience in Analytics on Python/SAS is must. 
• Candidate should have excellent logical thinking and solution building skills.
• Above average to advanced excel and presentation skills
• Good written and verbal communication skills

Professional Qualifications - MSc Statistics/ MTech/BTech/MBA from Tier1 colleges or universities with CFE certification preferred