Manager/Senior Manager - ML Risk Modeler

Hiring for top MNC in Analytics

Role - Manager / Sr Manager

- 6 - 10 years of experience in ML models in Credit Risk (Banking domain only)

- Tool - Well-versed in Python, SQL , excel, PPT ( Good to have knowledge of cloud platform , SAS, PySPark)

Skillset:

- Hands-on in development of ML models in Credit Risk area - Application scorecard, Behaviour scorecard , Fraud Scorecard, Collection scorecard, Income estimation, Credit Line optimization ( have worked on any or few of them) - (Good to have experience in building marketing ML models)

- Strong foundation in predictive modeling and machine learning along with deep understanding of credit risk management.

- Design ML solutions to address business needs on Credit risk side.

- Experience with supervised and unsupervised ML algorithms such as Random Forest, GBM, XGBoost, CNN, RNN, SVM, Markov process etc.

- Should be able to synthesize the findings at various points through model development process to share actionable insights with senior leadership and other stakeholders.

- Good communication skillset along with structured thought process with experience in handling senior stakeholder.

Candidate's notice period should be <= 60 days as we want candidates by first week of Jan'24.