- Use your analytics skills to build a logistic regression model to predict the likelihood of a customer to churn. - Build a classification model to analyse certain parameters. - Develop a classifier to detect fraudulent line items. - Require professionals with Analytical Model Development like-Predictive Modelling/Logistics Regression/Linear Regression/ Forecasting Modelling/ Time Series Etc. - Should have hands-on experience on any Analytics tools such as SAS/R/Python and SQL. - Experience in the field of Credit Risk / Market risk / General Analytics. - Experience in CCAR/ BASEL Modeling is also required. - Relevant years of experience in analytics, in BFSI Domain and in risk analytics preferable. - Should have strong communication and presentation skills. - Good at dealing with senior clients. - Strong creative/innovative skills. The ability to think out of the box is key. - Strong problem solving skills - Sector knowledge and experience of working in the area of Credit Risk; ideally experience of working with Credit card portfolio . - Candidate is expected to bring in a consultative mindset and problem solving approach and drive analytical throughput for the team . - Experience in Credit card/ banking domain with knowledge across customer lifecycle is must - Candidate should have excellent communication skills to interact with senior clients

Gurgaon/Gurugram

Manager - Regulatory Risk Modeling - Credit Card Domain 

Manager - Regulatory Risk Modeling - Credit Card Domain  ,Job Description for Manager - Regulatory Risk Modeling - Credit Card Domain  in Huquo in  Gurgaon/Gurugram for (3-7) years of experience. Apply Now!

Job Description for Manager - Regulatory Risk Modeling - Credit Card Domain  in Huquo in  Gurgaon/Gurugram for (3-7) years of experience. Apply Now!