Fraud Risk Management
Location : Pune (Aundh) - Work From Office
Opportunity : Work from Office
Experience Range : 10-12 years
The 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 and build 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 current or previous role. Knowledge on repayment products would be an advantage.
- They will be an adept communicator with good interpersonal 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 Cards Portfolio. This is a must.Experience in Analytical Models & Machine LearningIdentify & deliver appropriate analytics solutionsGood understanding of the AI and ML and their use casesExperience in People Management.Experienced in Analytics team managementEssential Duties and Responsibilities :
Responsible for delivering high quality analytical and value added servicesResponsible for automating insights and proactive actions on them to mitigate collection Risk.Work closely with the internal team members to deliver the solutionEngage Business / Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solutionUse analysis, AIML and customer insights to develop value propositions for customersMaintain and enhance the suite of suitable analytics products.Actively seek to share knowledge within the teamShare findings with peers from other teams and management where requiredActively 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 trendsKnowledge 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 advantageUnderstanding of credit bureau would be an added advantageExperience :
3 to 8 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 mustExperience in team management and leadershipExperience on handling large data volumes using data analysis tools and generating good data insightsDemonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiencesExcellent communication, presentation and writing skills Strong interpersonal skillsMotivated to meet and exceed stretch targetsAbility to make the right judgments in the face of complexity and uncertaintyExcellent relationship and networking skills across our different business and geographiesref : iimjobs.com)