Values

The ad says“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.”
The ad says“Understanding of decisioning and portfolio management in banking and financial services would be added advantage”
The ad says“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.”
The ad says“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.”
The ad says“Understanding of credit bureau would be an added advantage”
The ad says“Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree”
The ad says“Understanding of decisioning and portfolio management in banking and financial services would be added advantage”
The ad says“Good applied statistics skills, such as distributions, statistical testing, regression etc.”
The ad says“Understanding of decisioning and portfolio management in banking and financial services would be added advantage”
The ad says“A strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.”
The ad says“A strong understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN, etc.”
The ad says“Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree”
The ad says“Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree”
The ad says“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.”
The ad says“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.”
The ad says“Understanding of decisioning and portfolio management in banking and financial services would be added advantage”
The ad says“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.”
The ad says“Good applied statistics skills, such as distributions, statistical testing, regression etc.”
The ad says“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.”
The ad says“Good applied statistics skills, such as distributions, statistical testing, regression etc.”

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.

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

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