12.0 - 16.0 years

0 Lacs

maharashtra

On-site

KPMG entities in India are professional services firm(s) affiliated with KPMG International Limited. Established in August 1993, our professionals leverage the global network of firms while being well-versed in local laws, regulations, markets, and competition. With offices across India in various cities, we offer services to national and international clients across sectors, focusing on providing rapid, performance-based, industry-focussed, and technology-enabled solutions. We are seeking a highly accomplished professional to join our Financial Risk Management (FRM) team within the Risk Advisory service line at KPMG India. The ideal candidate will have expertise in financial risk, regulatory compliance, and advisory services, particularly in the banking and financial services sector. As a Director in our FRM team, you will lead and manage large-scale risk transformation programs across credit risk, market risk, and regulatory compliance. You will be involved in performing Basel III Reforms divergence analysis, optimizing ICAAP processes, automating regulatory reports, and leading regulatory change initiatives. Additionally, you will support capital reporting, drive client engagement, and manage engagement economics. The ideal candidate will have 12-15+ years of experience in financial risk management, strong understanding of regulatory frameworks, proven experience in managing P&L, exceptional leadership and communication skills, analytical and quantitative skills, excellent presentation skills for CXO-level interactions, and relevant qualifications such as CA, MBA (Finance), CFA, FRM, or equivalent professional certifications. Additional certifications in risk management or data analytics are a plus. KPMG India is an equal opportunity employer committed to diversity and inclusion in the workplace.,

Posted 2 days ago

Apply

SAS Risk modelling/Credit risk Aspyra Hr Services

3.0 - 8.0 years

2 - 8 Lacs

Gurgaon, Haryana, India

On-site

Roles and Responsibilities: Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile: 2+ years of experience in Credit Risk Modelling, Analytics, or a related field. Strong expertise in Basel II, Basel III, CECL, and CCAR within the IFRS9 framework. Proficiency in Python, R, or SAS, with a strong understanding of machine learning algorithms as an added advantage.

Posted 2 weeks ago

Apply

Risk modelling/Credit risk Aspyra Hr Services

2.0 - 7.0 years

2 - 7 Lacs

Gurgaon, Haryana, India

On-site

Roles and Responsibilities: Develop credit risk models using SAS, SQL, and statistical techniques to predict defaults, losses, and credit metrics. Collaborate with cross-functional teams to implement effective credit risk strategies. Conduct stress testing and scenario analysis to identify risks and growth opportunities. Provide data insights and recommendations on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile: 2+ years of experience in Credit Risk Modelling, Analytics, or related field. Strong expertise in Basel II, Basel III, CECL, and CCAR within the IFRS9 framework. Proficiency in Python, R, or SAS, with an understanding of machine learning algorithms.

Posted 2 weeks ago

Apply

Credit Risk / Fraud Risk Modeling Aspyra Hr Services

2.0 - 7.0 years

2 - 7 Lacs

Gurgaon, Haryana, India

On-site

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Posted 2 weeks ago

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.