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Bachelor's degree in Operations Management, Mathematics, Statistics, Actuarial Sciences, Economics or other quantitative, business or technical discipline, or equivalent combination of education and business applied experience.
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Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics or an equivalent quantitative field. Contribute to the full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets, and communicating results.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Demonstrating exposure to modeling methodologies in at least one of the following areas: credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics areas; and.
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As an Applied AI ML Senior Associate, in our Business Modeling organization, you will work. Subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline.
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A background in Applied Mathematics, Statistics, or Computer Science. Creative problem solving, strong math/quantitative skills, and attention to detail. The Opportunity: Our team is on the hunt for a Data Analyst Intern.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Master's or Ph. D. degree in Quantitative Finance, Financial Engineering, Applied Mathematics, Statistics, or a related field. A minimum of five years of experience in quantitative finance or a related role, with a focus on developing and implementing quantitative trading models and strategies.
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Master’s degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred. Financial Support - Develop robust qualitative and quantitative models and analytics for improving CCAR stress testing results and capital decision-making.
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Earned graduate degree (Ph. D. or M.Sc. + 2 years relevant industry experience) in a highly quantitative discipline (e.g., machine learning, statistics, computer science, applied mathematics, theoretical physics, physical chemistry, econometrics, bioinformatics.
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Nice-to-have] Graduate degree or equivalent experience in a quantitative/computational discipline (social science, statistics, computer science, applied mathematics, etc.) nice-to-have] Graduate degree or equivalent experience in a quantitative/computational discipline (social science, statistics, computer science, applied mathematics, etc.
$143,000 - $281,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Business Administration/Management, Mathematical Statistics, Statistics, Applied Mathematics, Financial Mathematics, Mathematics, Accounting & Finance, Finance, Financial Markets, Economics and Finance, Quantitative Finance, Banking and Finance, Economics, Business Analytics.
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Displaying knowledge or familiarity with industry financial instrument pricing tools and data sources e.g. Bloomberg, Refinitiv etc. C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS; Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS.
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MS or PhD in a quantitative discipline: Statistics, Economics, Applied Mathematics, Operations Research, Computer Science, Informatics, Engineering, etc. B.S. Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
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Assessing regulatory requirements for regulatory capital and compliance issues in the banking industry (FRTB, CCAR, ICAAP, PRA, Volker, Basel III etc.) Our team provides our clients with gap assessments as well as design and implement processes to facilitate asset and liability management, funding and liquidity planning and stress testing, and capital management.
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