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Experian

Analytics Consultant

Mumbai, India

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Tools in this posting

  • python
  • sas
Source — Tool mentions in context
- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree - Experience working on large data sets using Modern languages like Python - Good understanding and hands-on experience of statistical modelling/data analysis tools (SAS, Python) and techniques
- Experience working on large data sets using Modern languages like Python - Good understanding and hands-on experience of statistical modelling/data analysis tools (SAS, Python) and techniques - Good applied statistics skills, such as distributions, statistical testing, regression etc.

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Mumbai, India

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Posting history
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Active
First seen by us
Sep 10, 2026
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3

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Job description

Job Description

  • Delivering high quality analytical and value-added services for clients while adhering to timelines
  • Build next in class risk Models for our Clients leveraging bureau and alternate data
  • Provide subject matter expertise on acquisition and limit assignment strategies
  • You'll play an integral role to Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution
  • You will have the opportunity to use analysis and customer insights to develop value propositions for customers
  • Delivering high quality analytical and value-added services for clients while adhering to timelines
  • Build next in class risk Models for our Clients leveraging bureau and alternate data
  • Provide subject matter expertise on acquisition and limit assignment strategies
  • You'll play an integral role to Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution
  • You will have the opportunity to use analysis and customer insights to develop value propositions for customers

Qualifications

  • 8+ years of experience in credit risk modelling across customer life cycle
  • Preferred domain expertise includes MSME lending, with strong understanding of MSME underwriting, credit assessment, risk segmentation, bureau-based lending, alternate-data-based lending, and portfolio risk management.
  • A strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.
  • Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree
  • Experience working on large data sets using Modern languages like Python
  • Good understanding and hands-on experience of statistical modelling/data analysis tools (SAS, Python) and techniques
  • Good applied statistics skills, such as distributions, statistical testing, regression etc.
  • Understanding of decisioning and portfolio management in banking and financial services would be added advantage
  • Understanding of credit bureau would be an added advantage
  • Extensive experience of managing large projects
  • Experience of working in a financial services environment or Modelling department of International Banks
  • Interpret technical features into commercial benefits

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits:

  • Great compensation package and discretionary bonus plan
  • Core benefits include pension, health Insurance and term life Insurance, Sharesave scheme and more!
  • 25 days annual leave with 13 bank holidays and 3 volunteering days. You can also purchase additional annual leave.
  • You will report to Head - Data Intelligence & Batch Operations.
  • Role Location: Mumbai
  • Experian is an equal opportunities employer

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.

Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

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Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.