This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
This position is part of FP&A Model Development team which is responsible for developing time-series models to project balance sheets and income statements for different products/businesses/geographies within the firm, supporting CCAR and QMMF processes. Comprehensive Capital Analysis Review (CCAR) is an annual regulatory submission ensuring institutions have robust, forward-looking capital planning processes accounting for their unique risks.
Job Responsibility:
development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes, including the calculation of Net Interest Income (NII), Non-Interest Revenue (NIR), Interest Rate Exposure (IRE), and other associated risk metrics
developing Champion and Challenger models using different forecasting methodologies to comply with SR 15-18 guidance
development of Benchmark models using industry data series to meet regulatory requirements
manage the model life-cycle from first-line of defense perspective and participate in segmentation, risk identification, overlay discussions with Businesses and Finance teams
responsible for writing model development documentation and partner with Model Risk Management (MRM) to address their feedback
contribute to stakeholder conversations with Businesses, Finance, Treasury, and Risk to seek their sign-offs on Champion models
Requirements:
2-4 years of relevant statistical/business experience in financial services
strong understanding of statistical techniques such as Ordinary Least Square regression (OLS), Fixed-effect Panel Regression, Error Correction Models, Seemingly Unrelated regression, and Cointegration
understanding of Machine learning algorithms will be a plus
hands-on experience in programming and modeling using SAS, Python and R is preferred
follow a culture of accountability and strict quality control of the data integrity and modeling process
ability to build key relationships with finance and business teams
must be able to present technical matters in a way that is meaningful to the audience
Nice to have:
understanding of Machine learning algorithms
What we offer:
best-in-class global benefits to support well-being, living well, and saving well
Welcome to CrawlJobs.com – Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.
We use cookies to enhance your experience, analyze traffic, and serve personalized content. By clicking “Accept”, you agree to the use of cookies.