Description

You will lead model validation and development efforts within the consumer and commercial banking sectors.

Responsibilities

• Supervise and conduct validations of various models used across the organization.
• Mentor junior team members to foster technical growth and collaboration.
• Analyze complex datasets on Google Cloud Platform using Python and BigQuery.
• Validate advanced machine learning models to ensure accuracy and stability in outcome predictions.
• Develop and implement strategies to identify, quantify, and mitigate model risks.
• Collaborate with stakeholders to interpret results and provide actionable insights.

Required Skills

• 5+ years of experience in BFSI analytics, model development, validation, or implementation.
• Mandatory experience in credit risk model development.
• Proficiency in Python and SQL coding.
• Experience with GCP and BigQuery.
• Strong knowledge of statistical methods, machine learning, ensemble techniques, and deep learning.
• At least 1 year of experience supervising projects and managing team members.
• Understanding of key business and risk KPIs for retail banking products.
• Ability to communicate complex technical findings to non-technical stakeholders.
• Any Graduate degree.

Preferred Skills

• Experience with regulatory modeling such as ECL, Stress testing, and IFRS9.
• Hands-on experience with AWS.
• Familiarity with regulatory requirements related to model risk management.

Key Skills

Education

Any Graduate