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Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
As an associate in the Wholesale Credit Risk Forecasting Team, candidate will focus on execution and framework testing, delivering credit risk modeling and credit risk strategic innovation for the technology platforms to meet the requirements of CCAR/Stress Testing, Credit Stress Framework, and Economic Credit Capital. You will play a key role in monthly/quarterly model preparation and execution, as well as collaborate closely with developers, modelers and technology to design and implement strategic enhancements to wholesale credit projects including technology platforms, operating model, data pipeline, and analytics framework. Additionally, you'll coordinate model library updates, assess the impact of model and implementation changes on forecast outputs and clearly translate those implications to Analytics and other stakeholders.
Job Responsibilities
- Execute and deliver the quarterly stress and allowance SDLC testing across all execution workstreams
- Design and develop tools (Python/SQL/Tableau/AI based) to automate development and testing solutions
- Support the strategic build-out of stress testing workflow/dataflow for future initiatives
- Intimate understanding of the implementation of the forecasting architecture, systems, dataflow, hardware, and model libraries
- Identify issues and streamline data flow from acquisition to results production
- Liaise with technology partners and LOBs to improve and enhance the forecasting process
- Help to plan and perform for all production/testing needs
- Work in an Agile framework to write business requirements in the form of JIRA epics & user stories to develop data and system requirements for credit risk modelling platform
- Perform control and reconciliation against deliveries in addition to creating/enhancing formal governance
- Perform portfolio analysis, data segmentation, data transformation and database interaction to prepare various datasets
Required qualifications, skills, and capabilities
- BA/BS degree in computer science, mathematics, engineering, data analytics, economics
- Minimum 3+ years of experience working in a finance organization with data analytics and/or credit risk, Wholesale Risk Management, Quantitative Research, Data Analytics, Model Testing
- Technologically savvy with an ability to understand systems and their internal functionality; Coding knowledge and experience in Python/SQL is required
- Ability to organize work and solve problems independently and excel in a deadline-oriented environment
- Strong communications skills, written and verbal – significant interaction with LOBs, risk streams, senior managers, and external stakeholders
- Proactive, self-starter with ability to work in a collaborative environment
- Must be familiar with the software development lifecycle
- Excellent written and verbal communication skills, ability to engage and work with internal and external stakeholders
