Job Title: Manager | Credit Risk | Delhi | Regulatory & Financial Risk
Job Description
Business: Risk & Compliance
Department Profile: This function is accountable for multiple types of Model Risk to the Group. It is a quantitative analytics function spanning across Credit risk, Market risk, Operational Risk, Regulatory Compliance Risk. Hence this team works in a high-risk environment in the financial services industry, with the impact from regulators, customers, shareholders, and the media. Understandably, compliance with the letter and spirit of regulation globally has never been more important.
Typical deliverables include data analysis, providing analytics insights, model development, validation, calibration, strategy development, monitoring and reporting, information management and business intelligence. The deliverables form the basis for strategic planning by the senior management for businesses and enables effective decision making to satisfy business needs and requirements along with addressing unforeseen challenges.
What you’ll do:
Projects and analysis:
• Lead the engagement with model owners on achieving SS1/23 compliance for their respective models. Failure to comply with new rules within specified time period could result in Model Risk Issues being raised by second line of defense.
• Help identifying areas within Credit Risk models (IRB, IFRS9/Stress Testing and Credit Decisioning) which require remediation and proactively engage with internal stakeholder to address them.
• Role must have a good understanding of the regulatory environment in which the institution operates.
• Role holder must be able to perform remediation actions with autonomy, which are mainly related to developing analysis that might be missed when model was developed, enhancing documentation, data preparation, model performance monitoring, among others.
• Promote collaboration with different modelling teams globally to ensure consistent approach to achieve compliance with SS1/23 objectives.
• Assist in the preparation of MI to track progress against key milestones.
• Provide guidance and support to model owners/modelling teams.
Qualifications:
• Statistics/Mathematics
• Engineering (or B-tech with relevant experience)
• Economics
• MS / MBA in Finance
Experience
• 6+ years of experience in banking domain / regulatory risk analytics/ capital management
• Hands-on experience on at least one regulatory model development/ monitoring in python environment would be preferred
• Prior experience in risk management, regulatory risk model development, model risk management would be preferred
• Understanding of commercial banking and wholesale related products would be preferred Skills Required
• Highly focused on project delivery, attention to detail
• Strong programming skills in Python and experience of working with large volume of data. Pydash/Pyspark skills would be a plus
• Experience in automation of MI/monitoring/process would be preferred
• Conversant with new age technologies including Gen AI
• Excellent written and verbal communication skills
• Hands-on statistical knowledge with scorecard /econometric model development capability
• Strong collaborative, influencing and team building skills
• Strong analytical and problem-solving skills, open minded, flexible, pragmatic
• Strong documentation and summarizing skills for senior audiences
• Good estimating and planning skills
• Able to progress multiple tasks at the same time
• Able to work independently, with minimal supervision
• Willing to work with colleagues in other areas/time zones where appropriate