Risk Advisory Credit Risk Manager
8 hours ago
About KPMG in India
KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Should have prior experience in model development, model validation or model monitoring with GSIBs or Indian Banks.
• Good understanding of Credit Risk Model Development steps starting with exploratory data analysis, roll rate, vintage analysis, good/bad definitions, factor selections, logistic/ linear regressions including assumptions and limitations, scorecard calibration
• Credit Risk Model Validation starting from data preparation and analysis, validation tests, back testing, scenario analysis, sensitivity analysis
Equal employment opportunity information
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
Responsibilities
1Qualifications
Strong quantitative and analytical skills with attention to detail and accuracy
• A power user of Excel spreadsheet and PowerPoint. Acumen and demonstrated knowledge to use visualization tools (i.e., Power BI) will be advantageous
• Investment banking product knowledge and other regulatory development around IB
• SAS, Python, R
• CA/MBA(Finance)/ M.SC (stats)
• Certifications in CFA/ FRM
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