Job Title

Fraud Risk ManagementLocation: Pune (Aundh) - Work From OfficeOpportunity: Work from OfficeExperience Range: 10-12 yearsThe role is with a Fintech Credit Card company based in Pune within the Decision Science team.Purpose of Role :Develop and implement the analytics, models and strategy for Fraud Risk Management function for the credit cards andbuild product road map for fraud risk management to meet future needs. Use analysis, AI models and customer insights to develop optimum strategy.Candidate Profile :Successful candidates will have in-depth knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques.Candidate would have experience in Fraud Risk Management for Credit Cards including Transaction Monitoring in currentor previous role. Knowledge on repayment products would be an advantage. They will be an adept communicator with goodinterpersonal skills to work with senior stake holders in India to grow revenue primarily through identifying / delivering /creating new, profitable business solutions.What you will do:- Proven track record in Fraud Risk Management and Transaction Monitoring, Alerts optimisation in Credit CardsPortfolio. This is a must.- Experience in Analytical Models & Machine Learning- Identify & deliver appropriate analytics solutions- Good understanding of the AI and ML and their use cases- Experience in People Management.- Experienced in Analytics team managementEssential Duties and Responsibilities :- Responsible for delivering high quality analytical and value added services- Responsible for automating insights and proactive actions on them to mitigate collection Risk.- Work closely with the internal team members to deliver the solution- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding andagreement as to deliver proposed solution- Use analysis, AIML and customer insights to develop value propositions for customers- Maintain and enhance the suite of suitable analytics products.- Actively seek to share knowledge within the team- Share findings with peers from other teams and management where required- Actively contribute to setting best practice processes.Skills: Qualifications:Knowledge :- Good understanding of collection analytics preferably in the Retail lending industry.- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT,PROBIT, time- series modelling, CHAID, CART etc.- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, LLM etc.- Understanding of decisioning and portfolio management in banking and financial services would be added advantage- Understanding of credit bureau would be an added advantageExperience :- 10 to 12 years of work experience in the core analytics function of a large bank / consulting firm.- Experience on working on Fraud Risk Management and Transaction Monitoring in Credit Card portfolio is must- Experience in team management and leadership- Experience on handling large data volumes using data analysis tools and generating good data insights- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical andnon-technical audiences- Excellent communication, presentation and writing skills Strong interpersonal skills- Motivated to meet and exceed stretch targets- Ability to make the right judgments in the face of complexity and uncertainty- Excellent relationship and networking skills across our different business and geographies