Prakash Bade
Senior Manager (VP)- Wholesale Credit Risk Irb Modelling @HSBC
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WORK HISTORY
Senior Manager (VP)- Wholesale Credit Risk Irb Modelling @HSBC
London, GB
Leads the development of IRB credit risk models (PD, LGD, EAD) for HSBC’s Global Non-Bank Financial Institution (NBFI) portfolios, ensuring full alignment with Basel 3.1 requirements and modelling guidelines set by PRA, EBA, MENA, and other regional authorities driving both compliance and strategic value for the BankDrives data strategy by establishing a high-quality Reference Data Set (RDS) critical to meeting new IRB data quality standards for IRB modelling, and collaborates on global IRB modeling strategy to adapt to evolving regulatory and business requirements. Engages in research and innovation to enhance model performance, including advanced rank ordering and calibration for low and zero default portfolios, benchmarking with external data, and identifying additional risk drivers where historical data is limited. Streamline and automate model development processes by leveraging GitHub, Hive, Pyspark and Python —setting up a suite of complete automated IRB modelling processes from model scoping, data preparation, Single-Factor Analysis (SFA), Multi-Factor Analysis (MFA), model training, testing, and calibration, improving efficiency and minimizing post-model adjustments. Works closely with stakeholders across data, IT, IMR, Audit, business, regulators (e.g PRA/EBA), and implementation teams to align models with HSBC’s risk management framework and strengthen compliance.
EDUCATION
Savitribai Phule Pune University
MSc - Master of Science, Statistics
Savitribai Phule Pune University
Bachelor's degree, Statistics
University of Oxford
Artificial Intelligence: Cloud and Edge Implementations, Artificial Intelligence
SKILLS
ABOUT PRAKASH BADE
Over 15 years of experience in Credit Risk Analytics (IRB & IFRS9- PD, LGD, EAD models), AI/ ML modelling, Fraud Analytics, Operational Risk and Scorecard modelling, Credit Risk strategy development & monitoring, Portfolio Analysis, Loss forecasting, Collection Analytics, Stress testing and Scenario Analysis, Model governance,Model Risk Management ( MRM), Data Governance, AI/ML tool development for Credit Decisioning use.Currently working with HSBC, London as a wholesale credit risk IRB model development lead and responsible to build Credit risk IRB ( PD, LGD, EAD) models for HSBC’s Global Non-Bank Financial Institution (NBFI) portfolios, ensuring full alignment with Basel 3.1 requirements and modelling guidelines set by PRA, EBA, MENA, and other regional authorities driving both compliance and strategic value for the Bank.Spent couple of years working with Artificial Intelligence (AI) Enterprise policies, AI model risk assessment, AI model development and validation, AI model risk parameters- Bias/ Fairness, Privacy, Explainability, oversight, Ethics, compliance/Legal for large US based banking clients. Extensively worked with major global banking clients across US, Europe and APAC.Proven track record in setting up and leading large analytics teams. Effective stakeholders management and experienced in mentoring and training teams. Hands on experience on Statistical, Econometrics and ML/AI modelling using SAS, R and Python.Analytical Product development experience—Led Automated explainable AI tool for Credit decisioning and Automated Credit risk model monitoring tool using Python.Has very good understanding of banking regulatory model risk guidelines/policies/Standards- SR11-7, EBA, PRA, CCAR, ICAAP, BASEL (IRB), IFRS9/CECL, CP6/22, AI enterprise model risk guidelines.Technical Skill sets: Proficient in SAS, R, Python ( TensorFlow, Keras, PyTorch, Sklearn), SQL, Eviews, Excel VBA, Azure and Microsoft OfficeAvid speaker on Statistics, Machine Learning (ML), Artificial Intelligence (AI) and Credit Risk Analytics at various public platforms and educational institutes.
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