Role Purpose: To oversee the preparation of business insights and data visualization dashboards, develop credit and fraud risk models, and ensure effective deployment of credit and fraud decision engines.

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

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
5. Process Adherence as per MOU

Technical Skills / Experience / Certifications:

1. Good knowledge of handling Big Data in Hadoop/Spark/AWS platforms
2. Expertise in AI/ML techniques like Random Forest, Gradient Boosting, Support Vector Machines, Neural Networks etc.
3. Valuable understanding of programming languages SQL, Python, R, Scala

Competencies critical to the role: Strong analytical and problem solving skills

Qualification:

Master’s degree in related fields

Preferred Industry:

FSI / Any

📌 Deputy Vice President - Data Scientist (Gurugram)
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