Able to understand problem statement and independently deliver.
Provide insights in the domain of Credit/Fraud/ Modelling Risk and communicate it to senior stakeholders and clients.
Mentor and manage a team of analysts and ensure timely project delivery. Ideal Candidate Profile: 4+ years experience in banking analytics
Skilled in SQL, Python or Pyspark . Would prefer candidates with good hands-on analytics experience.
Good knowledge of Banking domain (specifically Credit Risk/ Fraud/ Risk Modelling Analytics Domain).
The candidate should have excellent written and verbal communication skills
Good stakeholder management skills
Good Problem-solving skills 6 Team Management experience Have work experience of working on data science problems. Experience of working in Banking and Credit Risk, Statistics modeling techniques like liner and logistic regression, decision tree and random forest Exposure to IFRS9 model development with parameters like PD, EAD, LGD, understanding of Application and Behavioral Scorecard Development would be a plus
