Digital Lending Specialist

1 day ago


Gurgaon, Haryana, India Comviva Technologies Full time
About Digital Lending Solutions

Digital Lending Solutions is a fintech company that specializes in developing cutting-edge digital lending platforms for financial institutions. Our focus lies in harnessing the power of alternative data and machine learning algorithms to create personalized loan programs that meet the unique needs of each customer.

We believe that digital lending has the potential to bridge the gap between traditional banking and financial inclusion, enabling millions of people around the world to access affordable credit. Our mission is to empower financial institutions to offer innovative digital lending services to their customers, driving growth and financial inclusion.

Job Responsibilities
  • Portfolio Strategy & Credit Policy: Develop a credit strategy to drive our digital lending business, including customer eligibility, limit/exposure decisions, and ongoing communication to drive adoption and repayment.
  • Collaborate with Africa Business and Product Team: Partner with the Africa business and product team to develop and optimize the customer journey and communication strategy to drive uptake, usage, and repayment.
  • Work with External Debt Collection Agencies: Collaborate with external debt collection agencies to optimize direct debit rules and drive collection effectiveness for delinquent customer segments.
Required Skills and Qualifications
  • Deep knowledge of scorecards, credit policies, and risk management in an unsecured retail lending context; defining underwriting strategy & exposure management, and owning portfolio KPIs for risk & revenue.
  • Experience in leading a 2-3 member analytics-driven credit policy team for specific markets/products; hands-on experience as a data-driven credit strategy analyst to provide functional guidance to the team.
  • Good analytical thought process and aptitude for problem-solving; hands-on experience in data extraction using SQL, Python, and PySpark SQL (Big Data Hadoop/Spark Stack).
  • Passion for using data and algorithms to drive underwriting decisions; previous exposure to ML algorithms (preferably multiple).
  • Strong entrepreneurial drive.
Benefits

We offer a competitive salary range of $100,000 - $160,000 per annum, commensurate with experience.



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