Analytics Consultant

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 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 #LI-Onsite Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here