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Salary
$16k – $37k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Junior · 1+ year exp
Overview
Company
Impact
Profile match
Khatabook is a small business software company headquartered in Bengaluru, India, and founded in 2018. The company started with a mobile ledger app that replaced the paper credit books Indian shopkeepers use to track customer dues, and expanded into billing, inventory, collections, and business loans. It is used by millions of micro and small merchants across India, many of them first time users of digital bookkeeping.

We at Khatabook are looking for a Business Analyst - BRE to manage, enhance, and optimize our Business Rule Engine (BRE) for lending and risk decisioning. The role will focus on translating credit and risk policies into system logic, driving continuous improvements, and working closely with product, risk, and technology teams to ensure seamless implementation and governance of decision frameworks.

Responsibilities:

  • Own end-to-end management of the business rule engine, including rule creation, validation, testing, and deployment.
  • Translate credit policies into executable system rules in collaboration with product and engineering teams.
  • Monitor BRE performance across approval rates, risk outcomes, and portfolio quality, and recommend rule optimizations.
  • Create BRDs and test the functionality for the BRD Management System platform
  • Perform in-depth analysis on funnel metrics, rejection reasons, ATS, and risk cohorts to improve decision quality.
  • Support UAT and post-deployment monitoring for all policy and rule changes.
  • Build dashboards and MIS to track BRE effectiveness, stability, and business impact.
  • Evaluate experiments and policy pilots to assess impact before full-scale rollout.

Requirements:

  • 1-2 years of experience in analytics.
  • Technical capabilities: Proficient in SQL and Excel.
  • Strong working experience with BI tools (Tableau, QlikView, Power BI, Cognos, BO, Pentaho, etc. )
  • Strong understanding of statistics and experience with statistical analysis
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Strong organizational, communication, presentation, and project management skills
  • A background in statistical modeling and experience with statistical/scripting tools such as R, Python, Spark, SAS, or SPSS is a plus.
  • Prior experience in credit risk analytics or policy management is a plus.
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