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
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