Fraud Control Unit (FCU) Analyst

Job Title: Fraud Control Unit (FCU) Analyst / Assistant Manager (PL, BL, LAP)

Location: Mumbai Industry: NBFC / Digital Lending

Role Overview

We are hiring a data-driven Fraud Control Unit (FCU) professional to strengthen fraud risk management across Personal Loans, Business Loans, and LAP portfolios. This role will combine investigation + analytics, focusing on early fraud detection, rule optimization, and portfolio-level risk monitoring.

Key Responsibilities

1. Fraud Detection & Investigation (Product-Focused)

Evaluate loan applications across PL, BL, and LAP for fraud triggers (synthetic profiles, income inflation, property-related frauds)

Perform pre-disbursement checks (KYC validation, bureau analysis, bank statement assessment)

Conduct post-disbursement fraud reviews for early delinquency (FPD/EPD cases)

Investigate high-risk cases including mule accounts, identity theft, and collusion frauds

2. Data Analytics & Fraud Strategy

Analyze large datasets to identify fraud patterns, anomaly trends, and high-risk segments

Develop and refine fraud rules, triggers, and scorecards across the lending lifecycle

Work on early warning systems (EWS) using indicators like bounce trends, bureau deviations, and transaction patterns

Partner with data/tech teams to implement rule engines, decisioning logic, and API-based fraud checks

Build and maintain dashboards (daily/weekly fraud MIS, portfolio health, fraud rates by product/channel)

3. Product-Specific Fraud Controls

Personal Loans (PL):

Detect income/document forgery, synthetic identities, and employment misrepresentation

Analyze bank statements and bureau behavior for inconsistencies

Business Loans (BL):

Identify GST/income manipulation, fake business vintage, and cash flow inflation

Validate business existence through alternate data sources and field checks

Loan Against Property (LAP):

Detect property valuation inflation, title discrepancies, and ownership fraud

Coordinate with legal/technical vendors for property due diligence

4. Stakeholder & Process Management

Collaborate with Credit, Risk, Underwriting, and Collections teams to strengthen fraud controls

Manage and audit field investigation vendors (FI agencies, legal, technical evaluators)

Drive process improvements and automation to reduce manual dependency

Support audits, regulatory reviews, and policy updates

Key Skills & Competencies

Strong analytical mindset with hands-on data handling experience

Proficiency in Excel (advanced), SQL; exposure to Python/R is a strong plus

Experience working with rule engines / decision systems / fraud detection tools

Deep understanding of bureau data, bank statement analysis, and lending workflows

Ability to translate data insights into actionable fraud prevention strategies

Strong investigative, problem-solving, and decision-making skills

Preferred Background

Experience in NBFCs / Fintechs / Banks with exposure to PL, BL, or LAP products

Prior experience in digital lending or high-volume underwriting environments

Exposure to alternate data sources (GST, telecom, banking APIs, device data) is a plus

Qualification

Graduate/Postgraduate in Finance, Statistics, Economics, or related field

Certifications in Fraud Risk / AML / Data Analytics (good to have)

Experience

4-6 years of relevant experience in Fraud Risk / FCU / Risk Analytics in Fintech /NBFC/Banking/

KPIs / Success Metrics

Reduction in First Payment Default (FPD) / Early Payment Default (EPD) linked to fraud

Fraud detection rate vs. false positives (rule efficiency)

Improvement in approval quality without impacting business TAT

Number of data-driven fraud rules/models implemented

Portfolio-level fraud loss reduction (PL / BL / LAP)