Analyst - Risk Modeling

Contract Type
₹ 1,800,000 - 1,900,000
Academic title
Job description

Job Description :

This role will support consumer risk scoring related modeling, documentation, adhoc analytics,

automation related activities for certain consumer portfolios including credit cards, loans, and others

under guidance of a senior manager. Ideal candidates will have 2-4 years of analytics experience

covering data pulling/manipulation, predictive modeling, coding, and analysis.

  • Develops a good understanding of data structure and systems used for Development and data storage.
  • Understands and correctly applies different statistical techniques with significant guidance from


  • Creates Data Quality reports for manager's review.
  • Completes model development related tasks with supervision.
  • Proficient in at least a visualization tool and uses the appropriate graphs, charts and tables to present

analysis with significant guidance.

  • Is aware of model development policies and understand them and applies with help of manager.
  • Ability to execute, debug and modify code/queries in at least a language/ Tool
  • Focus on learning the key tools/ languages used in the team best practice.
  • Shows effort/desire to learn about the financial service industry and consumer products.
  • Has knowledge of regulations and controls for Risk model development.
  • Ability to accurately write sections of the model documentation.
  • Contribute to team presentations with slides/tables.
  • Execute tasks in the agreed upon timeline.
  • Listens instructions and feedbacks.
  • Able to structurally articulate relevant information about performed tasks to peers and managers

Skill Required :

  • Strong knowledge of Python, SAS.
  • Preferred knowledge of SQL, R, big data tools such as PySpark, Hadoop, Hive etc
  • Knowledge of scoring model development, credit risk, lending
  • Experience in data manipulation, processing, predictive modeling such regression, decision

trees, gradient boosting machines, random forests, neural networks etc


CTC 18 Lacs

Hybrid Mode

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