Job Description:

Roles & Responsibilities:

  • Thrive in a fast-paced and dynamic environment, consistently delivering objective results.
  • Analyze extensive datasets to derive insights aimed at optimizing credit strategies.
  • Effectively visualize complex data and communicate findings to diverse audiences, including senior leadership.
  • Proficiency in Python, including pandas and NumPy for simple statistical analysis, data visualization, and basic data structures.
  • Strong command of SQL for data querying and manipulation.
  • Proficiency in Excel, including vLookup/Index, Pivots, and Visualizations.
  • Familiarity with Cloud services (optional).


  • Hands-on experience with MySQL or any other SQL querying language.
  • Advanced Excel skills for generating visualizations and extracting insights from data.
  • Proficiency in Python.
  • Experience in data analysis and modeling, preferably in the fintech/collections sector.


  • BE, B.Tech, M.E, M.Tech (Preferably Tier 1 or Tier 2 universities).

Notice Period: 15 to 30 Days.

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