QR - WCS - Testing - Associate

IBQR Data and Production team provides excellent exposure to any candidate interested in Credit Risk, Basel regulations, Allowance determination and stress forecasting. The team works across the Wholesale bank and is closely aligned with firm-wide partners including Wholesale Credit Analytics teams, Quantitative Research, Technology, Finance, and Model Review Governance teams. We seek candidates with strong skills in corporate finance, data analytics, big-data architecture and communication.

Role Description and Responsibilities

The candidate will join a team focused on implementation framework and strategic buildout testing of forward-looking forecasting infrastructure. Candidate will be expected to understand and integrate into the wholesale loan loss forecasting process relevant to CCAR and reserve forecasting process relevant to CECL, in addition to other forecasting endeavors, liaise for updates to model libraries, understand implications of model changes, implementation changes to forecasted results, and convey the same to Analytics teams.

Specific responsibilities include:

• 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

The ideal candidate should possess the following:

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  At least 2-5 years of experience working in Wholesale Risk Management, Quantitative Research, Data Analytics, Model Testing.
• Must be familiar with the software development lifecycle
• Coding knowledge and experience in Python/SQL is required
• Excellent written and verbal communication skills, ability to engage and work with internal and external stakeholders
• Ability to organize work and solve problems independently in a high-pressure, deadline-oriented environment.
• Understanding of big-data analytics and strategic data synthesis
• BA/BS degree required; Master degree or CFA a plus