Helping to manage the end-to-end Scenario Analysis framework for Operational Risk
Risk identification process based on Firmwide Material Risk Inventory (MRI) from FRIDA system, in collaboration with Firmwide Risk ID team
Operational Risk Scenario Selection and Quantification
Identifying risk drivers for Operational Risk Scenarios
Preparation and analysis of pre-workshop reference data materials
Coordinating facilitating scenario analysis workshops/meetings with 1st and 2nd Lines of Defense SMEs to estimate loss impacts of different scenarios
Preparing and producing Scenario Analysis related presentations senior management
Contributing to CCAR/ICAAP Stress Test regulatory submissions
Partner with MRGR for Model Risk Validation Process – Documentation, review process, issue remediation
Partner with Climate Risk team for Scenario Analysis
Contributing to the ad-hoc analysis or other data analysis
Qualifications:
10+ years prior work experience in risk management, data science, quantitative analysis and risk modeling in financial industry
Working experience to collaborate and partner with stakeholders across LOBs and horizontal teams
Familiarity with data analysis for risk estimation, prior statistical modeling and model development experience
Familiarity with CCAR/ICAAP experience is preferred
Advanced Excel, Alteryx, Tableau and/or Power BI experience is preferred
Python language experience is preferred
Graduate degree (PhD/MS) in Finance, Econometrics, Statistics or Operational Research is a plus
Creative thinker and problem solver; ability to apply concepts to new situations
Effective presentation and communications skills – ability to understand, translate and present risk concepts to business partners in structured and organized manner
Structured and organized – ability to synthesize results and produce analysis that is effective from a business perspective
Working understanding of quantitative risk and/or stress testing, including scenario analysis, model risk review process is desired