Responsibilities:

• Develop, review, and enhance credit risk identification, assessment, monitoring, reporting, and management methodologies, policies, and processes in compliance with regulations, internal policy, and external stakeholders
• Plan and monitor credit risk portfolios and align credit risk with the organization’s business strategy
• Keep abreast of the latest financial risk management techniques and industry best practices
• Work closely with cross-functional teams on various projects as needed
• Provide regular credit risk reports to senior management and Board members, especially the Company’s Credit & Risk Committee, detailing identified risks and action plans.
• Define and monitor credit risk limits, recommend action plans if limits are breached, and support formulating credit risk-adjusted prices for relevant credit products
• Implement and review credit risk measurement methodologies
• Lead and ensure set up of model methodology, credit data collection, build up and monitoring of credit models (e.g., scorecards, probability of default)
• Propose and implement credit analysis, monitoring, and early warning triggers for proactive credit portfolio management
• Prepare reporting materials and ensure data integrity, including special reports (as needed)

What we're looking for:

• At least five years of experience in data science, data analytics, or data analysis, with relevant experience in credit risk management
• Strong experience and understanding of finance, banking business, and handling consumer (Retail, MSME) lending (secured and unsecured) credit risk and portfolio management
• Experience and/ familiarity with data and statistical software/tools – i.e., SAS, SQL, R Studio, Python, and the like
• Excellent analytical, problem-solving, and decision-making skills
• Strong communication and interpersonal skills. Ability to present and communicate insights and data-driven proposals to executives
• Ability to manage and support multiple projects simultaneously

Please refer to job description.