Lead – Fraud Control Unit

Hero Fincorp Ltd.; Gurugram District; On-site; INR 3,200,000 - 5,200,000; Full time

Job summary

Hero Fincorp Ltd. is seeking a senior leader to own the fraud analytics strategy across digital lending, from onboarding through repayment.

You will lead the design of detection frameworks and the deployment of AI-driven detection capabilities to minimize fraud losses and protect customer experience. You will build scalable data infrastructure, monitor fraud KPIs, and collaborate with Risk, Credit, and Tech teams to continuously strengthen controls across portfolios.

Qualifications

• Bachelor's degree in a quantitative field; MBA/Analytics is a plus.
• 6–10 years in fraud analytics, risk analytics, or data science in BFSI/FinTech.
• Experience with unsecured digital lending products and fraud strategy.

Responsibilities

• Lead end-to-end Fraud Analytics strategy across all digital lending products.
• Own fraud risk performance by monitoring key metrics and thresholds.
• Design and enhance fraud detection using rules engines, models, and analytics.

Skills

Fraud analytics

Strategy design

Data-driven risk decisioning

Leadership

Communication

Education

Bachelor's in engineering/Statistics/Mathematics/Economics/Computer Science

MBA/PGDM/Analytics/AI a plus

Tools

SQL

Python/PySpark

Databricks

LangChain/LlamaIndex/AutoGen

Power BI

Job description

Responsibilities for the job

• Lead end-to-end Fraud Analytics strategy across all digital lending products, covering onboarding, underwriting, disbursement, and repayment lifecycle
• Own fraud risk performance for the portfolio by monitoring key metrics such as FPD, EPD, fraud rates, and loss trends; ensure fraud losses remain within defined thresholds
• Design, develop, and continuously enhance fraud detection strategies leveraging rules engines, scorecards, statistical models, and advanced analytics techniques
• Lead the development and deployment of next-generation fraud detection capabilities using Generative AI, including LLM-powered workflows, Retrieval-Augmented Generation (RAG), and autonomous AI agents
• Conceptualize and implement agentic workflows to automate fraud investigation processes, anomaly detection, and signal generation at scale
• Drive innovation through use of synthetic data generation and simulation frameworks to identify emerging fraud typologies and stress-test fraud controls
• Define and implement fraud risk policies, underwriting rules, and approval frameworks to optimize customer experience while minimizing fraud risk
• Collaborate with business, partnerships, and external stakeholders to strengthen sourcing quality, improve underwriting frameworks, and enhance fraud prevention mechanisms
• Lead partnerships with external data providers (bureau, alternate data, device intelligence, telecom, etc.) and evaluate new data sources through pilots and POCs
• Drive deep-dive analytics on fraud incidents, emerging patterns, and channel-level risks; translate findings into actionable strategies, features, and rule enhancements
• Build and oversee scalable fraud data infrastructure, including feature marts and monitoring systems, in collaboration with Data Engineering, Tech, and DWH teams
• Define fraud KPIs, dashboards, and reporting frameworks for senior leadership, ensuring timely and actionable insights
• Lead cross-functional collaboration with FCU, Risk, Credit, Collections, Compliance, and Tech teams to drive fraud prevention initiatives and improve portfolio quality
• Present fraud insights, strategic recommendations, and performance updates to senior leadership and stakeholders
• Ensure compliance with regulatory guidelines, audit requirements, and internal risk governance standards
• Lead audit engagements, policy reviews, and hindsight analyses to continuously strengthen fraud frameworks
• Mentor and guide junior analytics team members, fostering analytical excellence and innovation within the team

Other Responsibilities (If Any):-

The role encompasses ownership of fraud risk strategy across the full lending lifecycle, including fraud policy design, analytics, AI-led innovation, portfolio monitoring, and partner ecosystem management.

Eligibility Criteria for the Job

Education

Bachelor's degree in engineering, Statistics, Mathematics, Economics, Computer Science, or related quantitative field.

(MBA / PGDM / Master's in Analytics, Data Science, or AI is a plus)

Work Experience

6-10 years of experience in fraud analytics, risk analytics, or data science within BFSI / NBFC /

FinTech. Strong experience in unsecured digital lending products such as Personal Loans, Consumer Loans, BNPL, Credit Lines, or Cross-sell portfolios. Experience in leading fraud strategy, policy design, and data-driven risk decisioning is essential

Primary Skill

Deep expertise in fraud analytics and strategy across digital lending portfolios, with proven ability to design and deploy data-driven fraud prevention frameworks. Strong understanding of fraud typologies, risk policies, and portfolio performance management

Technical Skills

Advanced proficiency in SQL and Python/PySpark for large-scale data analysis and automation

Strong experience in machine learning techniques (supervised and unsupervised) for fraud detection and risk modelling.

Hands-on experience with Generative AI technologies including LLMs, prompt engineering, vector databases, and agentic frameworks (LangChain, LlamaIndex, AutoGen, etc.).

Experience working with big data platforms (e.g., Databricks) and building scalable data pipelines.

Strong understanding of rule engines, decision systems, and automated underwriting frameworks

Experience in data visualization tools such as Power BI for fraud monitoring dashboards.

Management Skills

• Strong leadership and team management capabilities
• Ability to drive cross-functional initiatives and influence stakeholders
• Experience in mentoring and developing analytics talent

Soft Skills

• Strong strategic thinking and problem-solving ability
• Ability to work in ambiguous environments and drive structured solutions
• Excellent communication and presentation skills for senior stakeholders
• Strong collaboration and influencing skills across business, risk, and technology teams
• High ownership mindset with focus on innovation and continuous improvement