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Business Administration/Management, Mathematical Statistics, Statistics, Applied Mathematics, Financial Mathematics, Mathematics, Finance, Financial Markets, Economics and Finance, Quantitative Finance, Banking and Finance, Economics, Business Analytics.
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Knowledge of balance sheet management, asset liability management (ALM), funds transfer pricing (FTP), capital management, financial performance management and hedging; A career in Treasury Advisory, within Risk & Regulatory Advisory, will allow you to advise financial institutions on developing strategies to optimize financial performance and risk management across financial risks, including liquidity risk, market risk, counterparty credit risk and interest rate risk.
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Machine Learning Scientist II would have a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically requires 4 years of related work experience.
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Advanced degree in a related field such as Computer Science, Engineering, Mathematics or Quantitative Finance is preferred. The Sr. Quantitative Portfolio Analyst will be responsible for supervision and implementation of quantitative portfolio management for retirement management account and non-discretionary model portfolios.
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Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 6 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Bachelor's degree in any field with an emphasis on quantitative analysis including Business Analytics, Information Science, Business/Finance, Economics, Mathematics, Engineering, Marketing, Consumer Insights or closely related field / STEM degree.
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Or, alternatively: Bachelor's degree in Mathematics, Statistics, Operations Research, Economics or other quantitative discipline (willing to accept foreign education equivalent) and five (5) years of experience as a Quantitative Analyst (or closely related profession) performing model validation or model development in the banking, insurance or consulting industry.
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Educational background in pharmaceutical sciences, pharmacometrics, mathematics, statistics/biostatistics, computational biology/chemistry, chemical/biomedical engineering, or a related field.
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The Quantitative Pharmacology and Pharmacometrics (QP2) department drives model-informed drug discovery and development (MIDD) to routinely enable efficient drug discovery/development and/or regulatory decisions.
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Director – Pharmacometrics, Quantitative Pharmacology and Pharmacometrics. · Responsible for achieving results on major program deliverables by identifying, driving the development and implementation of one or more novel quantitative approaches that seek to improve cycle time, cost/size, number of trials, clinical trial design and Go/No Go decisions.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Deep knowledge of drug development, pharmacokinetics and pharmacology and basic science skills required. A Ph. D. or equivalent degree with at least 7 years of experience) OR (a PharmD or equivalent degree with at least 9 years of experience) OR (an MS or equivalent degree with at least 11 years of experience), where “experience” means having a record of increasing responsibility and independence in a similar role in pharmaceutical drug development or academia.
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To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor. Leverage significant pharmacometrics and subject matter expertise in a broad range of therapeutic areas, modalities and stages of drug discovery/development to independently provide day-to-day coaching/guidance to individual contributors.
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If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package.
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