Portfolio Analyst - Risk & Portfolio

What we look for:

Passion for analytics : Should have solid understanding of cutting edge credit strategy leveraging data driven models. Should have hands on experience and track record of delivering projects in individual capacity.

Process oriented : Should help in building a process that maximizes operating efficiency while maintaining risk across multiple lending cycles. There needs to be an obsession with collecting and analyzing data to drive business iterations and improvements.

Stakeholder Management : Should have a track record of working with partners across functions internally as well as externally to build effective relationships and drive business deliverables.

Willingness to go above and beyond: For start-ups the responsibilities and needs of the business change quickly. Were looking for someone who is not afraid to take on calculated risks and can deal with ambiguity.

Job Responsibilities:

Portfolio Strategy & Credit Policy

• Develop credit strategy to drive the GTM strategy, customer eligibility and limit/exposure decisions through customer loan life cycle using telecom, wallet, bureau data, mobile app
• Develop and optimize customer journey and ongoing communication to drive usage, credit education and repayment across multiple digital channels (Mobile App, SMS, USSD, OBD)
• Work with external debt collection agencies and optimize direct debit rules to drive collection effectiveness for delinquent customer segments and optimizing collection offers
• Building framework for measuring periodic performance of existing strategies

Portfolio Monitoring & Governance

• Develop portfolio tracking metrics and design reports leveraging existing tech team
• Monitoring PDD MIS, Follow-up for pending PDDs, PDD pendency to be kept within acceptable limits.
• Coordination with partner team for due/ overdue PDD process. Propose and implement solutions to keep portfolio healthy interfacing data science, product and business operations team

Required Qualifications & Skills:

• Knowledge of scorecards, credit policies and risk management in an unsecured context
• Hands on experience as a data driven strategy/policy analyst for more than 1 year
• Good analytical thought process and aptitude for problem solving ; Hands on experience using SQL, Python and Pyspark SQL (Big Data Hadoop/Spark Stack) preferred
• Passion for using data and algorithm to drive underwriting decisions; Previous exposure to ML algorithms
• Strong entrepreneurial drive
• Premier educational background strongly preferred (technical, engineering discipline)