Manager - Credit Modelling

Responsibilities

1. Explore data and transform it into business insights by applying both data analytics and business knowledge
2. Provide user friendly visualization of data and business insights by creating dashboards leveraging any business intelligence (BI) software
3. Develop credit and fraud risk models by applying advanced AI/ML techniques.
4. Ensure model deployment either in credit & fraud decision engines or turbine/data lake
5. Monitor & validate all models/scorecards
6. Process Adherence as per MOU

Measures of Success 

1. Ensure the timely development of the models as per plan
2. Model efficacy in terms of consistency & reliability
3. Model validation & redevelopment as per agreed timelines
4. Effective resolution of Business problems related to modeling or data visualization

Technical Skills / Experience / Certification (If any)

Advanced knowledge of Structured Query Language (SQL)
Basic knowledge in AI/ML techniques like Random Forest, Gradient Boosting, Support Vector Machines, Neural Networks etc.
Good understanding of programming languages like  Python, Pyspark and SAS

Credit risk modelling 

Master’s degree in economics, statistics, operations research, mathematics, engineering, business, or related field with a strong quantitative emphasis

Over All experience in role

3-5 years of post qualification experience

Relevant Experience with respect to the role

1-2 years of prior experience in Credit risk modelling/Analytics/Automation/ Business Intelligence- working with Big data in Hadoop/Spark/AWS platforms and good understanding of handling unstructured data