Description
Assistant Vice President Quant Modeling - Stress Testing Description Manager prefers candidates with: Statistical Modeling / Economic forecasting. Risk sales, data science, marketing data analytics and modeling. Master in Quant areas (econometrics, fin engineering, mathematics) The final fixed pay offer will depend on the candidate and a number of variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location. NYC or Arlington Heights IL candidates - but open to completely remote candidates except for the states below. Please note that due to the entity the candidate would not be able to reside in any of these states: AK, HI, MO, MS, MT, ND, NE, NH, NM, PR, RI, VT, WY. Our Assistant Vice President (AVP), Quant Modeling Stress Testing will be responsible for designing, developing and maintaining pre-provision net revenue (PPNR) models used in bank stress testing (CCAR). You will be responsible for establishing fit-for-purpose models, with strong governance and analytics. The incumbent would ideally be local to our New York or Illinois office however, we are open to selected remote locations for strong candidates. About Us Our firm is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfill their hopes and realize their ambitions. On a typical day your activities could include the following: Working with business partners to provide financial and technical analysis and recommendations regarding current and/or proposed PPNR models. Working with businesses, risk and finance teams to submit and validate data and analyze the consolidated results. Production of the final regulatory 14A submission and data quality assurance of the submission; and partnering with other CCAR teams such as documentation, process or review and challenge in order to provide and analyze results. Implementing/onboarding models developed onto in house developed model execution platform. Model development, validation and model execution platform code maintenance and enhancement. Adhere to the governance standards established for scenario design, including, but not limited to the review and approval of key decision items by the U.S. CFO, U.S. CRO, Head of Strategic Planning and Stress Testing, and U.S. head of Central Scenarios and Modeling Ensure that the models are developed as per established framework. Help identify drivers related to individual businesses, and incorporate them in proposed models. For this role, we target a fixed base pay range between $117,700 and $130,000 The final fixed pay offer will depend on the candidate and a number of variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location. . wayup Qualifications Employment eligibility to work with us in the U.S. is required as the company will not pursue visa sponsorship for these positions. Minimum of two years of combined proven experience in the following areas - Economic Research, Economic Forecasting, Credit Risk Management, Market Risk Management, Model Development, Model Review, Model Implementation, Data Science or equivalent. Financial Services industry experience preferred Advanced (masters or PHD equivalent) degree in a quantitative (e.g. science, mathematics, engineering, econometric, financial engineering) field. Proficiency in programming language (e.g. Python) required Proficiency in Microsoft Office suite required Experience in statistical model development Basic knowledge of bank stress testing and CCAR requirements Strong ability for problem solving and attention to detail Strong communication, analytical, and presentation skill
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