Product Manager 1

Moneyview

Bengaluru Urban

On-site

INR 3,000,000 - 5,500,000

Full time

14 days+

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Job summary

Moneyview is seeking a Product Manager to lead lending and credit product initiatives in a fast-paced fintech environment. You will own the product roadmap, collaborate with engineering and analytics teams, and drive data-informed decisions across the lending lifecycle.

You will engage with stakeholders, conduct user research, and ensure compliance with RBI norms and data privacy requirements while delivering high-quality customer experiences.

Qualifications

  • 2-4 years of work experience in a product management role, preferably in fintech, lending, or credit products and 4+ years of overall experience.
  • Experience with product-led journeys for financial products, ideation and funnel improvements
  • Nice to have: Proven experience building lending or credit product flows, loan origination journeys, underwriting experiences, and repayment flows in Indian digital finance.
  • Deep understanding of the lending ecosystem, RBI/NBFC regulatory requirements, FLDG norms, KYC/AML compliance, and India’s credit infrastructure
  • Good track record in designing product solutions to solve business problems. Obsessed with providing the highest quality product and experience to the customer
  • Ability to create a strategic product roadmap to achieve business objectives and get buy-ins from senior stakeholders
  • Effectively use 80/20 to identify projects/initiatives with biggest impact
  • Experience in working with Engineering to drive the product roadmap and manage release cycles
  • Strong analytical skills with hands-on experience with large datasets; proficiency in SQL, Python, and BigQuery for data analysis
  • Experience in leading cross-functional teams in delivery of new products or services
  • Ability to work in a fast-paced environment where requirements change
  • Sound understanding of compliance and regulatory requirements in Indian lending — RBI guidelines, Fair Practices Code, digital lending norms, data localization, privacy obligations
  • High ownership mindset with accountability for outcomes in a sensitive data environment; data governance and security best practices
  • Fair understanding of AI/ML workflows and collaboration with data science teams to build AI-native features; curiosity to leverage LLMs and generative AI

Responsibilities

  • Develop a deep understanding of your product area—lending flows, credit lifecycle, underwriting logic, and the broader Indian lending ecosystem—and translate that into impactful product decisions
  • Conduct in-depth user research to understand user needs, pain points, and behaviors
  • Use data, metrics, and qualitative inputs to define the product roadmap for short, medium, and long term
  • Own the product/business metrics for features and releases
  • Create quality PRDs and collaborate with Engineering and UI/UX teams to deliver product releases with top-notch app experiences
  • Continuously analyze product performance against ROI, KPIs, and other metrics to improve performance
  • Work with large datasets using SQL, Python, and BigQuery to analyze behavior, monitor health, run experiments, and generate insights
  • Collaborate with teams and senior leadership to drive the product strategy and agenda
  • Ensure features comply with RBI digital lending guidelines, Fair Practices Code, KYC/AML norms, and DPDPA
  • Work with legal/compliance to identify and mitigate regulatory risks
  • Manage access to sensitive data (PII, financial records, bureau data) with privacy-by-design principles
  • Partner with data science/ML teams to ideate and ship AI-native lending features with clear model inputs/outputs

Skills

Product management
Fintech products
SQL
Python
BigQuery
Data analysis
Stakeholder management
Regulatory compliance
AI/ML awareness
Cross-functional leadership

Tools

BigQuery
Python

Job description

  • 2-4 years of work experience in a product management role, preferably in fintech, lending, or credit products and 4+ years of overall experience.
  • Experience with product-led journeys for financial products, ideation and funnel improvements
  • Nice to have: Proven experience building lending or credit product flows, loan origination journeys, underwriting experiences, and repayment flows in Indian digital finance.
  • Deep understanding of the lending ecosystem, customer behavior, RBI/NBFC regulatory requirements, FLDG norms, KYC/AML compliance, and India’s credit infrastructure
  • Good track record in designing product solutions to solve business problems. Obsessed with providing the highest quality product and experience to the customer
  • Ability to create a strategic product roadmap to achieve business objectives and get
  • buy-ins from senior stakeholders. Effectively use 80/20 to identify
  • projects/initiatives with biggest impact
  • Experience in working with Engineering to drive the product roadmap. Ability to organize, manage, and prioritize tasks with engineering through multiple product
  • release cycles
  • Strong analytical skills with hands-on experience working with large datasets; proficiency in SQL, Python, and BigQuery for data analysis, experimentation, and insight generation. Comfortable working directly with data pipelines and BI tools to drive data-informed decisions
  • Experience in leading cross-functional teams in delivery of new products or services
  • Ability to work in a fast-paced environment where the requirements are constantly changing
  • Sound understanding of compliance and regulatory requirements in the Indian lending landscape — including RBI guidelines, Fair Practices Code, digital lending norms, data localization, and privacy obligations (DPDPA). Ability to embed regulatory thinking into product design from day one
  • High ownership mindset with strong accountability for outcomes, especially in a sensitive data environment. Experience handling PII, financial data, and credit bureau data responsibly, with a solid grasp of data governance and security best practices
  • Fair understanding of AI/ML workflows and the ability to collaborate with data science teams to build AI-native product features — such as smart underwriting, personalized loan offers, intelligent nudges, and conversational loan servicing. Curiosity to leverage LLMs and generative AI in building next-gen lending experiences
As a Product Manager you will:
  • Develop a deep understanding of your product area -lending flows, credit lifecycle, underwriting logic, and the broader Indian lending ecosystem -and translate that into impactful product decisions
  • Conduct in-depth user research to understand user needs, pain points, and behaviors.
  • Use data, metrics and qualitative customer inputs to define the product roadmap for the short, medium and long term.
  • Own the product/business metrics for features & product releases
  • Create quality PRDs, work and with Engineering and UI/UX team to deliver product releases with top notch app experiences.
  • Constantly analyse the product performance against ROI, KPIs, and other metrics to improve performance.
  • Work hands-on with large datasets using SQL, Python, and BigQuery to analyze user behavior, monitor product health, run experiments, and generate actionable insights.
  • Collaborate with different teams and senior leadership to drive the product
  • agenda.
  • Ensure all product features and flows adhere to applicable regulatory frameworks -RBI digital lending guidelines, Fair Practices Code, KYC/AML norms, and DPDPA.
  • Work closely with the legal and compliance teams to proactively identify and mitigate regulatory risks before they become blockers.
  • Manage and govern access to sensitive customer data (PII, financial records, bureau data) with strong data stewardship practices. Drive privacy-by-design principles across product development.
  • Partner with data science and ML teams to ideate, prioritize, and ship AI-native lending features -such as intelligent credit decisioning, personalized offer engines, risk-based pricing, and AI-powered customer servicing — with a keen understanding of model inputs, outputs, and product trade-offs
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