Lead collection strategy and Analytics

IIFL Home Finance Ltd.; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

IIFL Home Finance Ltd. seeks an experienced Collections Strategy leader to design and optimize collection strategies across customer portfolios. The role focuses on leveraging data-driven insights to reduce delinquencies and maximize recoveries while improving customer engagement across the collections lifecycle.

The ideal candidate has extensive expertise in Collections Strategy, Risk Analytics, and Portfolio Management within Banking, NBFC, FinTech, or Consumer Lending ecosystems.

Qualifications

• Advanced proficiency in SQL (mandatory).
• Experience with Excel, Power BI or Tableau for visualization.
• Hands-on with Python, R, SAS or equivalent tools preferred.
• Strong understanding of collections KPIs and portfolio management.
• Experience in data-driven insights across large datasets.

Responsibilities

• Lead design, execution and optimization of collection strategies across portfolios.
• Use data-driven insights to improve collections efficiency and recoveries.
• Reduce delinquency and strengthen customer engagement across collections lifecycle.
• Collaborate with stakeholders across banking, NBFC, FinTech ecosystems.

Skills

SQL

Excel

Power BI

Tableau

Python

R

SAS

Collections KPIs

Portfolio management

Predictive analytics

Big data

Job description

Job Purpose:

We are seeking an experienced Collections Strategy to lead the design, execution, and optimization of collection strategies across customer portfolios. The role will be responsible for leveraging data-driven insights to improve collections efficiency, reduce delinquency, maximize recoveries, and enhance customer engagement across the collections lifecycle.

The ideal candidate should have extensive experience in Collections Strategy, Risk Analytics, Portfolio Management within the Banking, NBFC, FinTech, or Consumer Lending ecosystem.

Skills Required:

Technical Skills

• Advanced proficiency in SQL (mandatory).
• Strong expertise in Excel, Power BI, Tableau, or equivalent visualization platforms.
• Hands-on experience with Python, R, SAS, or other analytical tools preferred.
• Strong understanding of collections KPIs, portfolio management, and predictive analytics.
• Ability to work with large datasets and derive meaningful business insights.

Leadership Competencies

• Strong problem-solving and analytical capabilities.
• Excellent stakeholder management and communication skills.
• Ability to lead cross-functional initiatives and influence senior stakeholders.
• Strategic mindset with a strong bias for execution and results.