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Product Manager

Credit Saison India

5 - 10 years

Bengaluru

Posted: 12/02/2026

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Job Description

About Credit Saison India

Established in 2019, Credit Saison India (CS India) is one of the countrys fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintech's. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting Indias huge gap for credit, especially with underserved and under penetrated segments of the population.


Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. Credit Saison India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings.


Currently, Credit Saison India has a branch network of 80+ physical offices, 2.06 million active loans, an AUM of over US$2B and an employee base of about 2000 employees.


Credit Saison India is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people.


Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japans largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Based in Singapore, Saison Internationals global operations span over Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil, with active investments in debt, equity, corporate venture capital, and technology.


Roles and Responsibilities


  • Build the core Lending systems of Credit Saison India covering the universe of LOS, LMS, Customer Experience, Collections, Data, Authentication and Compliance
  • Development of the feature roadmap through conducting best practice research, A/B tests understanding key product metrics. Should be highly focused on metrics
  • Identify, develop and execute analyses to uncover areas of opportunity and present written business recommendations
  • Exhibit sound product judgment and present clear measurable objectives that will lead to achieving business goals.
  • Clearly, communicate product ideas and benefits to our users and internal stakeholders.
  • Write specs, work cross-functionally with engineering, data, design, QA team and Stakeholders to launch features, analyse results and iterate on feature/product via learning
  • Conceptual understanding of User Experience Design, Design Process
  • Understand and analyse data, generate insights, convert them to product features for incremental releases
  • Work with Data Science team to explain the use cases, tie them with sample data and expected outcomes which can improve regular business processes
  • Be the subject matter expert for all business processes, data mappings for LMS, LOS
  • Proven experience in communicating feature requirements across various platforms


Basic Qualifications:

  • Masters degree from Top Tier MBA school
  • Proven analytical and quantitative skills
  • Should be able to communicate effectively
  • APM - Previous Experience (1+ years) in Product Development (Product Management/ Development / BA) desirable but not mandatory
  • PM - Previous Experience (3+ years) in Product management mandatory
  • Experience with SQL, BI Tools such as Looker, Power BI, Tableau and data warehouse technologies such as Big Query, Redshift or Snowflake is desirable.
  • Knowledge of data pipeline design, understanding of integration and data transformation standard methodologies
  • Have top level understanding of statistics, machine learning and other concepts.
  • Have worked on complex, non-routine analytical problems, applying advanced methods when needed.

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