6 Basel Regulations Jobs

You will be responsible for performing a variety of moderately complex risk analytics with a focus on AI/ML models. Your role will involve resolving moderately complex issues in advanced data modeling and measuring risk. You will provide effective challenge to the models by evaluating model-related risks including input data, model assumptions and limitations, conceptual soundness, methodology, outcomes analysis, benchmarking, monitoring, and model implementation. This position requires a combination of strong quantitative skills and AI/ML technical knowledge. Your major duties will include validating Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) models independently across various categories. You will evaluate Gen AI model risk, including hallucination, prompt injection, data leakage, reproducibility, and alignment with Responsible AI principles. Additionally, you will assess model robustness, interpretability, fairness, and bias through quantitative and qualitative techniques. You will also be responsible for validating complex statistical and/or algorithmic models used across various areas within the bank. It will be crucial to ensure that model development, monitoring, and validation approaches meet regulatory expectations and internal risk management needs. Moreover, you will provide analytical or risk measurement support to help meet both internal corporate and regulatory requirements. Developing in-depth knowledge of business unit/function and complex modeling techniques used will be essential. You will need to clearly communicate the complex issues/findings of the model validation outcomes to stakeholders and keep abreast of the latest regulatory requirements around model risk management. Furthermore, you will be expected to work on varied areas of risk management as part of the centralized Model Validation team within the bank. Your knowledge and skills should include experience with Machine Learning models, strong knowledge of AI/ML techniques, experience in validating machine learning models, familiarity with GenAI risks and controls, and understanding of models used in stress testing, CCAR, CECL, BASEL regulations, among others. Excellent oral and written communication skills, knowledge of risk measurement, and strong analytical and problem-solving skills are also required. Ideally, you should have an advanced degree in a quantitative discipline or Computer Science with a focus on AI/ML, along with 3 to 6 years of relevant work experience. Programming experience in Python is required, with experience in SAS and R desired. Mastery of analytical tools and strong preference for candidates with certifications in AI/ML or CFA/FRM/CQF are important. Familiarity with cloud and big data technologies is also desired. Working at Northern Trust offers opportunities for greater achievements in a flexible and collaborative work culture. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities it serves. Join a workplace with a greater purpose and apply today to build your career with one of the world's most admired and sustainable companies. Northern Trust is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact the HR Service Center at MyHRHelp@ntrs.com. Northern Trust values an inclusive workplace and understands that flexibility means different things to different people. Apply today and discuss your flexible working requirements to achieve greater together.,

You are a highly accomplished and strategic professional sought after to join the Financial Risk Management (FRM) team within the Risk Advisory service line at KPMG India. Your deep expertise in financial risk, regulatory compliance, and advisory services, particularly in the banking and financial services sector, will be invaluable in this role. As a Director in the FRM team, you will lead and manage large-scale risk transformation programs focusing on credit risk, market risk, and regulatory compliance. Your responsibilities will include performing Basel III Reforms divergence analysis, optimizing ICAAP processes, automating regulatory reports, and leading regulatory change initiatives such as Basel III/IV, ICAAP, RRP, APRA, PRA, FINMA, and RBI compliance. Additionally, you will support quarterly capital reporting for APRA and drive client engagement from proposal development to delivery. To excel in this role, you should possess 12-15+ years of experience in financial risk management, either in consulting or the BFSI sector, along with a strong understanding of regulatory frameworks. You must have proven experience in managing P&L, delivering on revenue and margin targets, and exceptional leadership, communication, and stakeholder management skills. Analytical and quantitative skills, including risk modeling and scenario analysis, are essential, as well as excellent communication and presentation skills for CXO-level interactions. Your qualifications should include CA, MBA (Finance), CFA, FRM, or equivalent professional certifications, along with a strong academic background in finance, economics, statistics, or related fields. Additional certifications in risk management or data analytics would be considered a plus. KPMG India is an equal opportunity employer where professionals like you can leverage the global network of firms, stay informed about local laws, regulations, markets, and competition, and contribute to the growth and success of the organization.,

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.,

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.

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.

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.