Quantitative Research Data analysis and model execution - Associate

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 a Quantitative Research Production Analyst within our IBQR Data and Production team, you will have the unique opportunity to gain exposure in areas such as Credit Risk, Basel regulations, Allowance determination, and stress forecasting. We work across the Wholesale bank and closely collaborate with firm-wide partners including Quantitative Research, Finance, Model Risk & Development, Technology, and the Regulatory Capital Management Office. This role provides an exciting opportunity to contribute to our dynamic team and grow your career.

Be part of team focused on delivering data processing and forecasting results production for the wholesale loans and commitment portfolio to meet the FRB CCAR requirements for Y-14A stress testing, IFRS-9 Expected Credit Loss, and US-GAAP CECL.

Job responsibilities
 Execute and deliver the quarterly stress forecasting results with focus on data needs
 Perform portfolio analysis, data segmentation, data transformation and database interaction to prepare various datasets
 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
 Define data models , metadata and data dictionary that will enable data analysis and analytical explorations
 Understand the implementation of the forecasting architecture, systems and dataflow
 Identify issues and streamline data flow from acquisition to results production
 Support the strategic build-out of stress testing workflow/dataflow for future initiatives
 Liaise with technology partners and LOBs to improve and enhance the forecasting process
 Help to plan and perform for all production/testing needs
 Perform control and reconciliation against deliveries in addition to creating/enhancing formal governance

Required qualifications, capabilities, and skills
 Minimum 3 years of experience working in Wholesale Risk Management, Corporate Finance, Data Analytics
 Familiarity with the software development lifecycle
 Data Analysis and data manipulation skills using SQL , Python & MS Excel is Required
 Coding knowledge and experience in Python/SQL is required
 Understanding of big-data analytics and strategic data synthesis
 Ability to organize work and solve problems independently and excel in a high-pressure, deadline oriented environment.
 Excellent written and verbal communication skills, ability to engage and work with internal and external stakeholders
 Tableau and data visualization familiarity
 Familiarity with Traditional Credit Products (Loans, Letter of Credit, Stand by Letter of Credit, Syndications)
 Experience with wholesale loans and commitments product and systems, as well as its data flows
 BA/BS degree required; Master degree or CFA,