Role Accountability:    
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

Technical Skills / Experience / Certification (If any)    
1.Basic knowledge of handling Big Data in Hadoop/Spark/AWS platforms
2.Basic knowledge in AI/ML techniques like Random Forest, Gradient Boosting, Support Vector Machines, Neural Networks etc.
3.Good understanding of programming languages SQL, Python, R, Scala (at least one)
4.Working knowledge of creating dashboards using BI tools like Power BI, Tableau or Qlikview (at least one)
5.Competencies critical for role with High Proficiency :Strong analytical and problem solving skills
6.Key External Stakeholder(s): Credit Bureaus
7.Must have Qualification  : Master’s degree in economics, statistics, operations research, mathematics,
 engineering, business, or related field with a strong quantitative emphasis
8.Over All experience in role: 3-5 years of post qualification experience
9.Relevant Experience with respect to the role    1-2 years of prior experience in Analytics/Automation/ Business Intelligence- working with Big data in Hadoop/Spark/AWS platforms and good understanding of handling unstructured data
10.Preferred Industry(If any):FSI