Asst Vice President - Fraud Analytics

Axis Bank; Mumbai City; In loco; INR 2.800.000 - 5.000.000; Tempo pieno

Descrizione del lavoro

Axis Bank is seeking a seasoned Fraud Analytics Leader to design and execute proactive analytics strategies across Consumer, Mortgage, Auto, and Agri lending portfolios. You will develop AI/ML detection models, use graph analytics, and build dashboards to monitor fraud risk throughout the customer lifecycle.

Ideal candidates have 7–8 years in fraud analytics within banking, strong SQL, Python/R/SAS skills, and proven collaboration with Risk, Credit, and Technology teams.

Competenze

• Optimal qualification for success on the job is Graduation/ Post graduation from a recognized institute.

Mansioni

• Lead the design, development, and execution of advanced fraud analytics strategies across lending portfolios.
• Develop and deploy fraud detection models using AI/ML techniques.
• Build predictive and early warning frameworks across the customer lifecycle, from onboarding to portfolio monitoring.
• Create fraud analytics dashboards, MIS, and management reports; support audit and regulatory requirements.

Conoscenze

AI/ML model development

Fraud analytics

Graph databases

SQL

Data visualization

Stakeholder management

Formazione

Graduation/ Post graduation

Strumenti

Python

R

SAS

Descrizione del lavoro

About Department:

Financial Crime Intelligence (FCI) department has been created to enhance the Banks capabilities in prevention, detection and response to frauds against the Bank as well as our customers. With these objectives in mind, a new department Financial Crime Intelligence’ has been created with the Fraud Control Unit (FCU) and Digital Transaction Monitoring (DTM) being housed under the FCI to ensure greater synergies. Fraud Control Unit (FCU) is a function responsible for preventing, detecting, and investigating fraud across customer onboarding, lending, cards, and digital payment channels. Through verification, analytics, monitoring, and control enhancements, FCU safeguards the Bank against fraud losses, strengthens regulatory compliance, and protects customer trust and business integrity

About the Role

Lead the design, development, and execution of advanced fraud analytics strategies across lending portfolios (Consumer/Personal Loans, Credit cards, Mortgage, Auto Loans, and Bharat Banking products – Gold Loan, Agricultural loan, Farm mechanisation). The role focuses on proactive fraud detection, prevention, and control enhancement using data-driven methodologies and emerging technologies.

Key Responsibilities

1. Fraud Analytics & Strategy

• Develop and drive the fraud risk analytics framework across lending products.


• Identify emerging fraud trends, patterns, and fraud modus operandi, including organized and syndicate fraud.


• Design data-driven strategies for early detection, loss prevention, and control enhancement.


• Recommend preventive measures based on analytical insights and risk assessments.

2. Advanced Analytics & Model Development

• Lead the development and deployment of fraud detection models using AI/ML techniques.


• Build predictive and early warning frameworks across the customer lifecycle, from onboarding to portfolio monitoring.


• Enhance fraud detection capabilities through advanced analytics tools such as Social Network Analysis (SNA), Link Analysis, Graph Databases, and visualization platforms (Tableau, Power BI).


• Strengthen rule engines and automated trigger-based detection mechanisms.

3. Fraud Risk Management & Controls

• Develop and enhance detection capabilities for application fraud, identity fraud, synthetic identities, shell entities, and mule/syndicate fraud networks.


• Assess vulnerabilities in processes, systems, and underwriting practices and recommend mitigation measures.


• Leverage knowledge of lending policies, underwriting processes, and KYC requirements to strengthen fraud controls.

4. Stakeholder Management & Governance

• Collaborate with Risk, Credit, Business, Operations, BIU, and Technology teams for fraud prevention initiatives and model deployment.


• Present fraud risk insights, emerging threats, and recommendations to senior management.


• Prepare fraud analytics dashboards, MIS, and management reports.


• Support audit, regulatory, and investigation requirements while ensuring adherence to governance standards.

Qualifications:

Optimal qualification for success on the job is:

• Graduation/ Post graduation from a recognized institute

Role Proficiencies:

• Exposure to AI/ ML model development for early fraud detection.


• Strong expertise in:


• Fraud analytics / risk modelling


• AI/ML model development (Python, R, SAS or similar)


• Data querying (SQL)


• Hands-on experience with:


• Graph databases (e.g., Neo4j)


• Link Analysis / Network Analytics tools


• Visualization platforms (Power BI, Tableau)


• Deep understanding of:


• Lending products (Mortgage, Auto Loans, Personal Loans, Agri lending, Gold loan)


• Fraud risk typologies in lending


• Underwriting and credit risk policies


• Strong awareness of evolving fraud patterns and evasion techniques.


• Strong analytical and problem-solving orientation.


• Ability to translate complex analytics into business decisions.


• Proven stakeholder management and influencing skills.


• Experience in leading teams and managing high-impact projects.

Experience

• Minimum 7-8 years overall experience with at least 5 years in Fraud Analytics domain


• Relevant experience in:
  
  
  
  • Banking / NBFC / Lending institutions
  
  
  • GCCs supporting global banks/lending businesses Preferred