Team Member - Fraud Risk Identification

5 - 6 years

4 - 8 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


  
Roles and Responsibilities:
  • 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:

  • Job Requirements:
  • 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
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