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

Mumbai, Maharashtra, India

Full Time Senior-level / Expert USD 28K - 67K * ^est.

Kotak Mahindra Bank

Kotak Mahindra Bank, India’s trusted bank offers personal & business banking services - accounts, deposits, loans, cards, insurance, investments & more.

View all jobs at Kotak Mahindra Bank

Apply now Apply later

Posted 8 hours ago

Level M5-M6 Department Fraud Analytics Location Mumbai Role Requirements

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 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
Validate model performance metrics, process production data, and conduct deep-dive analytics to improve fraud detection accuracy.
Leverage Python, PySpark, and ML frameworks to develop scalable solutions.
Develop real-time analytics solutions to detect fraud transactions instantly.
Utilize supervised (regression, classification) and unsupervised learning techniques to address business challenges.
Lead collaboration between stakeholders – RCU, product, analytics, IT, BSG & business to design/implement solutions w.r.t. Fraud identification and monitoring
Collaborate with FinTechs / external vendors for exploring on new ideas / innovations and implement the same
Presentation to relevant committees and senior management

Pre-Requisites

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.
Experience in
- Machine Learning & Statistical modeling, with expertise in supervised and unsupervised techniques.
- Python, PySpark, SQL, and software engineering fundamentals.
- Fraud analytics, risk modeling, and anomaly detection.
- Building dashboards & reports using Power BI and Python for model monitoring.
Candidate should have excellent logical thinking and solution building skills.
Good written and verbal communication skills
Professional Qualifications - MSc Statistics/ MTech/BTech/MBA from Tier1 colleges or universities with CFE certification preferred