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Lending Data and Analytics Analyst

J.P. Morgan

Publicado hace 41 días
No especificado
Tipo de puesto:
Wholesale Credit Analytics and Solutions (WCAS)
The Wholesale Credit Analytics and Solutions team (WCAS) is responsible for implementing key credit risk practices across Wholesale businesses, and ensuring consistency in methodologies within Wholesale Credit Risk.
WCAS’ areas of responsibility include Traditional Credit Product (TCP) stress testing (CCAR/DFAST/IFRS9/ICAAP) and Basel RWA, developing the firm's authoritative wholesale credit risk parameter data set, reserve/allowance management, development and implementation of an economic credit capital model, the design and integration of credit and capital limits, risk grading methodology, and the provision of strategic advice and solutions to the originating businesses.
The analyst based in Buenos Aires will support the global WCAS Wholesale Lending Data and Analytics team prepare data and analytics for various Regulatory capital models, to include Basel, CCAR, and CECL. 
Role Description and Responsibilities
The successful candidate will join a team focused on delivering the data required to build and enhance various Regulatory capital models, to include Basel, CCAR, and CECL. 
Specific responsibilities include:
+ Analyze and validate wholesale credit risk data for BASEL, CCAR and other regulatory models
+ Prepare business data dictionary, assess and perform data quality checks
+ Perform data trend analysis, data bridges, reconciliation and exclusion analysis
+ Liaise with risk modelers, resolve data inquires and provide business insights
+ Participate in ad-hoc projects involving various Wholesale lines of business and portfolio categories
+ Working with technology, LOB Controllers, and other partners to implement changes to methodology and to enhance processes and data quality
+ Perform risk data aggregation and risk reporting to support quantitative analyses and supervisor requests.
+ Define the business requirements for the system and data initiatives as part of regulatory and reporting requirements
Essential skills, experience, and qualifications:
  • Degree from a financial, mathematical, or computer science program
  • Advanced skills in using SQL is mandatory, familiar with R and Python a plus
  • Must have experience in data analytics and in dealing with large quantities of data
  • Detail oriented and strong organizational skills
  • Excellent communication abilities, both written and oral; comfortable with presenting information to key senior stakeholders
  • Ability to solve problems creatively while working in a dynamic and challenging environment under tight deadlines
  • Eagerness to learn about risk, risk parameters, stress testing and loss forecasting
  • Controls mindset and strong reconciliation skills
El contenido de este aviso es de propiedad del anunciante. Los requisitos de la posición son definidos y administrados por el anunciante sin que Bumeran sea responsable por ello.
La empresa dio por finalizado este aviso.
¡Te postulaste con éxito!