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Machine learningRisk managementPythonStatisticsRecruitment
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About the role
We are hiring an Analytics Consultant to build advanced credit risk models and deliver data-driven solutions for financial services clients. In this role, you will leverage machine learning, bureau and alternative data, and risk analytics expertise to drive underwriting, decisioning, and portfolio management strategies.
• 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
• 8+ years of experience in credit risk modelling across customer life cycle
• Domain expertise includes MSME lending, with understanding of MSME underwriting, credit assessment, risk segmentation, bureau-based lending, alternate-data-based lending, and portfolio risk management.
• Understanding of machine learning techniques and algorithms, such as Gradient Boost, KNN.
• Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Decision Tree
• Experience working on large datasets 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.
• Experience in decisioning and portfolio management within banking and financial services will be an added advantage.
• Understanding of credit bureau would be an added advantage
• Extensive experience of managing large projects
• Experience working in a financial services environment or Modelling department of International Banks
• Interpret technical features into commercial benefits
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 Senior Analytics Consultant.
• 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
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