Hasan Abbas

Hasan Abbas

Model Risk Specialist
India
English

About Me

An experienced model risk professional with over 15 years of expertise in model risk management, risk models, model validation, data analytics, and credit risk strategies. Strong track record in audit-style reviews, cont…

Experience

VP – Impairment Models

Barclays
Present

Leading a team responsible for the management of the group impairment models covering credit losses, partnering with individual model owners to define impairment models strategy.
Drive the development of the model risk management framework for implementation standards, procedures, compensating controls, independent testing and ongoing monitoring.
Design and own the model change and calibration framework.
Drove EAD models accuracy through strategic model change initiative.
Supported audit and regulatory reviews by preparing comprehensive model documentation, responses, and remediation tracking.
Defined new set of model performance KPIs and implement the model monitoring process for all the IFRS9 impairment CIB models.
Define and implemented the uncertainty analysis for IFRS9 model and SICR assessment.
Partnered with senior stakeholders to strengthen model change & calibration framework, driving accuracy and transparency in impairment model lifecycle.

Assistant Manager, Risk Analytics

TCS E-Serve, Mumbai, India

Work closely with judgmental team to develop risk strategies and suggesting changes to credit underwriting policies that drives portfolio expansion. Identify areas of potential concerns/risk that should be addressed through the analysis process.

VP – Impairment Models

Barclays, Noida, India

Leading a team responsible for the management of the group impairment models covering credit losses, partnering with individual model owners to define impairment models strategy., Drive the development of the model risk management framework for implementation standards, procedures, compensating controls, independent testing and ongoing monitoring., Design and own the model change and calibration framework. Drove EAD models accuracy through strategic model change initiative., Supported audit and regulatory reviews by preparing comprehensive model documentation, responses, and remediation tracking., Regulatory Frameworks: IFRS 9, Basel, Defined new set of model performance KPIs and implement the model monitoring process for all the IFRS9 impairment CIB models., Define and implemented the uncertainty analysis for IFRS9 model and SICR assessment., Partnered with senior stakeholders to strengthen model change & calibration framework, driving accuracy and transparency in impairment model lifecycle.

Director - Risk Methodology

UBS, Mumbai, India

Led centralized credit risk model confirmations team. Maintain firm wide model review procedures, standards and model review schedule to ensure the timeliness, quality and review rigor., Defined model performance and model risk confirmation concept that ensure risk models are fit for the purpose and meet all regulatory requirements., Developed Sensitivity, Uncertainty analysis framework as part of annual model confirmation., Performing an evaluation of changes to the model environment, including macroeconomic factors etc., Conducted audit-style testing of model controls and validation reviews to meet regulatory standards (SR 11-7, Basel)., Drove automation of model reviews, saving 100+ man-hours annually, and improved efficiency of model governance.

Senior Executive – Analytics

Intelenet Global Services, Mumbai, India

Lead Assistant Manager

EXL, Gurgaon, India

Worked with Impairment Modeling team of Decision Science (DS) to ensure projects are completed within agreed time frames and end-client satisfaction through effective project management. Contribute to the broader DS department through participation in peer reviews, term of reference reviews, modeling forums and ad-hoc project collaborations., Developed impairment LGD models for Germany, and Southern Europe countries (IAS 39), Enhanced existing impairment LGD model: Carried out a segmentation analysis to isolate different recovery behaviour. This improves the accuracy of model and successfully implements the change in model methodology for new portfolios

Manager, Model Risk

Crisil GR&A, Pune, India

Led independent model reviews/validation of credit risk models used for capital reporting, capital stress testing, risk measurement and input in balance sheet. Performed full scope validation of Wholesale/Retail Credit Risk Models., Validated CCAR/DFAST models, perform scenario analysis and sensitivity analysis to ensure robustness of the model, evaluate/ identifies model risk and limitation, evaluate/review model monitoring and maintenance plan/ report, Worked directly with model developers from Wholesale/Retail Credit Risk teams to achieve model completeness. Ensure models and documentations are in compliance with all policies and guidelines., Additionally, responsible for developing statistical models and performing analysis that are required in pilot projects as a part of business development and account management activity. Led and managed a team of five focused on model risk utility., Developed CCAR/DFAST model for Existing Home Sales volume and an alternate PD scorecard model for commercial leasing portfolio, Developed LGD model for non-performing loans (NPLs) portfolios. The model provides independent LGDs modeled by Beta distribution for NPLs to estimate economic capital, Developed benchmark model and performed sensitivity analysis for existing probability to default model

Director - Risk Methodology

UBS

Led centralized credit risk model confirmations team.
Maintain firm wide model review procedures, standards and model review schedule to ensure the timeliness, quality and review rigor.
Defined model performance and model risk confirmation concept that ensure risk models are fit for the purpose and meet all regulatory requirements.
Developed Sensitivity, Uncertainty analysis framework as part of annual model confirmation.
Performing an evaluation of changes to the model environment, including macroeconomic factors etc.
Conducted audit-style testing of model controls and validation reviews to meet regulatory standards (SR 11-7, Basel).
Drove automation of model reviews, saving 100+ man-hours annually, and improved efficiency of model governance.

Manager, Model Risk

Crisil GR&A

Led independent model reviews/validation of credit risk models used for capital reporting, capital stress testing, risk measurement and input in balance sheet.
Performed full scope validation of Wholesale/Retail Credit Risk Models.
Validated CCAR/DFAST models, perform scenario analysis and sensitivity analysis to ensure robustness of the model, evaluate/ identifies model risk and limitation, evaluate/review model monitoring and maintenance plan/ report.
Worked directly with model developers from Wholesale/Retail Credit Risk teams to achieve model completeness.
Ensure models and documentations are in compliance with all policies and guidelines.
Additionally, responsible for developing statistical models and performing analysis that are required in pilot projects as a part of business development and account management activity.
Led and managed a team of five focused on model risk utility.
Developed CCAR/DFAST model for Existing Home Sales volume and an alternate PD scorecard model for commercial leasing portfolio.
Developed LGD model for non-performing loans (NPLs) portfolios.
The model provides independent LGDs modeled by Beta distribution for NPLs to estimate economic capital.
Developed benchmark model and performed sensitivity analysis for existing probability to default model.

Lead Assistant Manager

EXL

Worked with Impairment Modeling team of Decision Science (DS) to ensure projects are completed within agreed time frames and end-client satisfaction through effective project management.
Contribute to the broader DS department through participation in peer reviews, term of reference reviews, modeling forums and ad-hoc project collaborations.
Developed impairment LGD models for Germany, and Southern Europe countries (IAS 39).
Enhanced existing impairment LGD model: Carried out a segmentation analysis to isolate different recovery behaviour.
This improves the accuracy of model and successfully implements the change in model methodology for new portfolios.

Assistant Manager, Risk Analytics

TCS E-Serve

Work closely with judgmental team to develop risk strategies and suggesting changes to credit underwriting policies that drives portfolio expansion.
Identify areas of potential concerns/risk that should be addressed through the analysis process.

Senior Executive – Analytics

Intelenet Global Services

Skills

Credit Risk Excel Leadership Python Regulatory Compliance Statistical Analysis System (SAS) Structured Query Language (SQL) Communication Credit Risk Management Institutional Review Board (IRB) Model Validation Project Management Strategic Thinking R Programming Language (R) Tableau Statistical modeling Data visualization Tools Retail and wholesale portfolio Risk Analytics Predictive modeling Stress testing Basel SR 11/7 TRIM EBA Model Risk Management Impairment Models Predictive Modeling Application Scorecard model Predictive models using techniques (bootstrap) Gradient Boost Random Forest Bagging Trees Data Mining technique – CHAID Time Series Forecasting ARIMA Model PCA Wavelet decomposition Team building Team management Work planning Prioritization Problem-Solving Analytical thinking Effective reporting Stakeholder engagement Model risk management Model validation Data analytics Governance frameworks IFRS 9 SR 11-7 RBI Economic Capital PD modeling LGD modeling EAD modeling CCAR DFAST Sensitivity analysis Uncertainty analysis ARIMA CHAID Bootstrap Time series forecasting Data mining
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