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Branch Overview
Branch is a leading AI-based lending fintech with 50M+ downloads across India and Africa. We use alternative data to reach millions of people that are largely excluded from the financial sector.
Headquartered in Silicon Valley with operations in India, Nigeria and Kenya, Branch is a for-profit, socially conscious company built for scale and impact. Our mission-driven team—founded and led by the former CEO of Kiva.org—now spans 400+ employees globally. We're backed by investors such as Andreessen Horowitz, Visa, and the IFC.
Job Description
You will be the bridge between raw data and real-world recovery. You will be responsible for analyzing repayment trends, optimizing our automated nudge systems, and helping build our collections strategy. Your goal is to minimize Non-Performing Loans (NPL) while ensuring a Customer-First experience that aligns with Branch's mission.
Responsibilities
Qualifications
Why Join Us
Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law. We're looking for more than just qualifications - so if you're unsure that you meet the criteria, please do not hesitate to apply!
Job ID: 147205109
Skills:
ERPs - Siebel, HRO - Talent Services, Digital Transformation, Workday, Training Need Analysis, Training Transition, Benefits, Core Hr, Recruitment, Talent Development, Payroll, WQM, Compensation, Career Development, Workforce Data Analytics, Employee HR Services, Sales Enablement, Performance Management
Skills:
Trade analytics, Trading, Problem-solving, Risk management
Skills:
Form Personalization, Pl Sql, Oracle Ebs R12, Alerts, Workflow, Reports, Xml Publisher, Toad, India Localization, Oracle Reports, Forms, Reports Forms Builder, Extensions, Interface Conversions, Ebtax, Oracle 11G DB
Skills:
risk metrics , Correlation, Excel, Sql, duration, Microsoft databases, Brinson factor-based, performance attribution methodologies, tracking error, beta
Skills:
Sql, Data Analysis, client portfolio, Financial Modelling
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