Lead - Data Science

What you’ll do

• Supervise and conduct validations of various models used across the organization
• Provide guidance and mentorship to junior team members, fostering a culture of collaboration and learning.
• Collaborate with stakeholders to improve model performance, interpret results, and provide actionable insights.
• Analyze complex data sets related to Consumer and Commercial banking on Google Cloud Platform(GCP) using Python and Bigquery
• Validate models developed using advanced machine learning techniques, ensuring accuracy and stability in predicting key outcomes.
• Develop and implement strategies to identify, quantify, and mitigate model risks.
• Contribute to the design and execution of model testing and monitoring processes.

What experience you need

• Understanding of key business and risk KPIs for retail banking products.
• 5+ years’ experience in handling BFSI analytics/developing models/validation/ implementing models/.
• Credit risk model development experience is a must.
• Python and SQL coding experience is a must have technical skill.
• Minimum of 1 year of experience in supervising projects and team members, demonstrating ability to successfully manage multiple projects and stakeholders simultaneously
• Strong knowledge of statistical methods, machine learning techniques including Ensemble techniques, deep learning.
• Familiarity with regulatory requirements and guidelines related to model risk management is a plus.
• Excellent communication skills to convey complex findings to non-technical stakeholders.

What could set you apart

• Strong business acumen and strategic thinking
• High energy levels and ability to work in a fast-paced environment
• Strong interpersonal skills and ability to collaborate effectively with diverse teams across multiple geographies and levels of the organization
• Opportunity to use cutting-edge statistical/modeling tools across literally hundreds of data assets.
• Regulatory modeling development experience is good to have (ECL, Stress testing & IFRS9).
• First hand experience on cloud based platforms including GCP & AWS