Current risk management practices are not adequate for the integration of climate modeling. Stress test analysis has the capacity to answer questions a bank might have on climate-related risk.
- Debating which approaches to take and understanding how to adopt
- Determining the limits and thresholds
- Aligning models with long-term commitments
- Assessing what good looks like and how to measure effectively
- Effectively utilizing reverse stress testing
Varun Agarwal
Varun Agarwal is an Executive Director at USAA where he oversees risk audit teams.
He brings over twenty-five years' experience having worked for large global financial institutions and insurers in Regulatory Risk & Compliance space. He has worked for Capgemini, HSBC, Deloitte, and JP Morgan in US, Canada and Europe.
His background includes responsibilities in Credit, Market, Liquidity, Operational, Strategic Risk and AML, along with Risk Governance, Policy, Data Management and Reporting. He also created Enterprise Risk Management frameworks, set Risk Appetite, and executed end-to-end risk processes. He has also worked on a variety of analytical models for Capital Management, Pricing, Valuation and Derivatives.
He is a published author on topics in finance and risk across US and Europe and has presented at professional conferences at both national and regional levels. Varun earned both his Ph.D. and Master's degree in Financial Economics from the University of Alabama and a Bachelor's degree in Mechanical Engineering from BITS, Pilani, India. He also holds a CFA charter.
Varun enjoys outdoor running and reading world history.
Moez Hababou
Moez Hababou heads Model Risk Management for BNP Paribas US for the Credit, Financial Security, and Capital Planning workstreams. He is responsible for all model validation activities in the areas of Wholesale Credit, CCAR, and BSA/AML. More recently, he is focusing on best ways to account for climate risk in credit risk management and validating machine learning models. Prior to his current role, Moez Headed CCAR Modeling for CIB BNPP US. Moez held similar analytical and modeling roles at UBS Wealth Management, Barclays and Royal Bank of Scotland. Moez has also numerous publications in academic journals. Moez holds a Ph.D. in Management Science from York University (Toronto, Canada) and a Master degree in Finance from Laval University (Quebec City, Canada)..
Deniz Senturk
Deniz is the Head of Analytics and Chief Risk Officer, supporting Global Treasury, at State Street Corporation (SSC). In her role as Head of Analytics, Deniz is focused on providing quantitative solutions consisting of Predictive Analytics and Business Intelligence (data analytics, reporting) for business lines across the bank. In parallel, she is also responsible for risk oversight of Treasury’s activities, which includes managing the investment portfolio, asset-liability risk, liquidity risk, funding and liability pricing, and capital structure, in her role as CRO for Treasury.
Prior to her current role, Deniz was the Head of Model Risk Management at State Street for three years and headed up Model Risk Management within GE Capital for 3+ years before joining State Street in 2015. Deniz’s 15 year tenure at GE also included leading the marketing analytics teams as well as the research teams within GE Global Research Center. During her time at GE, she published 15+ patents and 20+ research papers on advanced statistical techniques used in risk and finance.
Deniz’s areas of functional expertise include compliance and control functions, credit, treasury, market and model risk management in addition to risk analytics, marketing analytics and business strategy management. She also served as an adjunct professor at the Graduate School of Business, Fordham University for three years.
Deniz holds a Ph.D. in Applied Statistics from University of California, Santa Barbara and a B.S. in Physics from Bogazici University (Turkey).