Role Summary:
We are looking for a
Data Product Manager
to build and manage the data ecosystem powering our
lending and pay later products
. The ideal candidate will have experience in
micro-lending or digital credit platforms
, with a deep understanding of how
data flows through the lending lifecycle
— from origination to repayment.
You will define how data is collected, structured, and leveraged for
credit decisioning, business insights, and AI deployment
, ensuring that data becomes a core enabler for smarter, faster lending decisions.
Key Responsibilities:
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Own the data roadmap across the lending and pay-later ecosystem.
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Map and manage all data sources involved in the credit lifecycle (KYC, transaction, repayment, behavioral, and bureau data).
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Design and optimize data pipelines that support credit scoring, risk modeling, and AI systems.
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Collaborate with Product, Engineering, and Data Science teams to ensure data integrity, accessibility, and usability.
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Define data requirements for new products, features, and risk models.
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Build dashboards and metrics to monitor portfolio performance and business health.
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Enable AI and ML model deployment by ensuring high-quality, structured, and real-time data availability.
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Partner with compliance and BI teams to ensure data governance and regulatory alignment.
Key Requirements:
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5+ years of experience in data or product management roles within lending, BNPL, or fintech ecosystems.
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Strong understanding of credit data, decision engines, and lending workflows.
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Experience with data platforms, APIs, and BI tools (e.g., Snowflake, BigQuery, Power BI, or Looker).
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Familiarity with AI/ML use cases in credit risk, collections, and personalization.
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Strong analytical mindset with ability to translate business needs into scalable data solutions.
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Proven cross-functional collaboration skills with product, data, and risk teams.