JPMorgan Risk QR Data Analyst 

Argentina, Autonomous City of Buenos Aires, Buenos Aires 

758638583

Organization Description

Risk Management helps the firm understand, manage, and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes, and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

Role Description and Responsibilities

About Wholesale Credit Risk QR

Specific responsibilities include:

• Execute and deliver the quarterly stress and allowance forecasting results with focus on data needs
• Navigate through database and data systems to perform data analysis, segmentation, transformation to prepare various datasets
• Design and develop tools (Python/SQL/Tableau based) to automate data sourcing/analytical processes that assess data quality, data completeness, and readiness for forecasting
• Understand the implementation of the forecasting regression models and how they use data for forecasting
• 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 partners and LOBs to improve and enhance the forecasting process
• Perform control and reconciliation against deliveries in addition to creating/enhancing formal governance

The ideal candidate should possess the following:

• BA/BS degree in computers, mathematics, finance or a related field
• Knowledge of IFRS9/CECL/CCAR/Stress Testing/Basel in Wholesale Credit Commercial & Industrial and/or Commercial real estate is preferred but not required
• Experience working with data analytics and/or credit risk is desirable;
• 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
• Technologically savvy with an ability to understand systems and their internal functionality
• Coding knowledge and/or experience in Python/SQL is strongly preferred
• Understanding of big-data analytics and strategic data synthesis is desirable
• Proactive, self-starter with ability to work in a collaborative environment
• Tableau and data visualization familiarity preferred