The role will be responsible for helping to manage and execute Operational Risk Scenario Analysis activities, working closely with key stakeholders including senior executives, subject matter experts and Risk ID leads from Line of Businesses (LOBs), including Operational Risk Officers (OROs) for Lines of Business as well as the Corporate Legal team.
Responsibilities:
This role is an experienced Associate role in risk area, who will be responsible for:
- Contributing and helping on the end-to-end Scenario Analysis framework for Operational Risk
- Risk identification process based on Firm-wide Material Risk Inventory (MRI) in collaboration with Firm-wide Risk ID team
- Operational Risk Scenario Quantification/Formulation
- 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
- Partner with MRGR on Model Risk Validation Process - Model documentation, review process, issue remediation
- Partner and collaborate with subject matter experts from Legal Team, Climate Risk team or with other LOB/Risk teams
- Contributing on new ideas/approaches for data analysis/visualization and process automation based on Intelligent Solutions (Alteryx, Tableau skills)
- Data preparation and visualization
- Data process automation
Qualifications:
- 5+ years prior work experience in risk management, data analysis and risk modeling in financial industry
- Working experience to collaborate and partner with stakeholders across LOBs and horizontal teams.
- 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
- Creative thinker and problem solver ability to apply concepts to new situations
- Working understanding of quantitative risk and/or stress testing, including scenario analysis, model risk review process is preferred
- Familiarity with data analysis for risk estimation, data science and prior model development experience
- Advanced Alteryx, Tableau experience is preferred
- Python language experience is preferred.
- Prior experience in Data Science, Machine Learning, AI libraries is a plus
- Familiarity with CCAR/ICAAP experience is plus.
