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AVP - Risk Analytics - Retail Lending
LOCATION: Bangalore/ Kurla, Mumbai
EXPERIENCE :
- Graduate from Engineering, MBA, Maths stream from Tier 1 Institute (IIT, etc.)
- 5-8 years of relevant experience preferably in the Financial Services Industry
- >=5 years of experience in analytics, ML, and AI
KEY ROLES/RESPONSIBILITIES :
- Build Acquisition Scorecard Models
- Build Behaviour Scorecard Models
- Enhance Credit Underwriting Framework
- Strengthen Digital Lending and Digital Underwriting Framework
- Build Collection/ Recovery Models
- Create Digital Collection Framework
- Create Fraud Detection Models
- Build Fraud Triggers from various sources of data
- Monitor and Track Risk, Fraud, and Collection related metrics to drive Business outcomes
About Company :
Our Client is registered as a housing finance company with National Housing Bank (NHB) and engaged in various financial services businesses. It provides both wholesale and retail funding opportunities across sectors. In real estate, the platform provides housing finance and other financing solutions across the entire capital stack ranging from early-stage private equity, structured debt, senior secured debt, construction finance, and flexi lease rental discounting. Hospitality sector financing is a recent foray of group. Here they are providing financing solutions to hotels that will be operated by branded players in established and emerging markets.
The wholesale business in the non-real estate sector includes separate verticals - Corporate Finance Group (CFG) and Emerging Corporate Lending (ECL). CFG provides customized funding solutions to companies across sectors such as infrastructure, renewable energy, roads, industrials, auto components etc. while ECL focuses on lending to Small and Medium Enterprises (SMEs). Through its group companies provides customized strategies for institutional and retail investors such as Mumbai Redevelopment Fund focused on slum rehabilitation and Apartment Fund focused on bulk buying individual units and strategic partnerships with leading global pension funds such as CPPIB, APG, and Ivanhoe Cambridge.
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