Associate Vice President - Credit Risk Analytics - IIT/IIM/ISB/NIT/XLRI

- 6+ Years of experience in Banking Analytics

- Good exposure in Python, SQL and SAS

- Strong exposure in credit risk and PD model development

- Strong exposure in Marketing Analytics

- Strong experience in Statistical Modelling or ML techniques like Logistic/Linear Regression, GBM, Decision Trees, Random Forest, K-Means Clustering, NLP/Text Analytics, SVM, LSTM (Secondary skill)

- Hands on experience in analytics driven projects involving data exploratory analyses (Must have)

- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.

- Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions, develop business cases and complete root cause analysis

- Superior verbal and written communications skills with extreme attention-to-detail (Must have)

- Ability to communicate effectively with diverse clients/stakeholders

- Ability to manage a team

- Tier I/II candidates preferred