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A bachelor's degree in a quantitative business discipline (such as finance, accounting, mathematics, or economics) or a liberal arts degree is required. Workday Financials/Adaptive Insights experience a plus.
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. Quantitative Systems Pharmacology (QSP) & Physiologically Based Pharmacokinetics (PBPK) have become important components of discovery and clinical development.
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OR- A bachelor's degree from an accredited college/university, including 16 semester hours of biological science (with one course in microbiology), 16 semester hours of chemistry (with one course in organic or biochemistry) and one course in mathematics, -AND- two years of post-certification clinical laboratory experience (e.g., blood banking, chemistry, hematology, microbiology, immunology, clinical microscopy, etc.
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Updating and maintaining models along with business growth and liquidity, regulatory risk environment changes Developing and maintaining mid-scale infrastructure in AWS, Python Qualifications Strong quantitative skills with an advanced degree in Mathematics, Physics, Engineering or other highly quantitative discipline Strong analytical and problem-solving skills using math, statistics, and programming Strong programming skills and experience with python or other scripted language.
$135,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ph. D. in a quantitative field such as Mathematics, Physics, Engineering, Quantitative Finance or equivalent experience. Bloomberg's Quantitative Analytics team is responsible for the design and implementation of modeling analytics that support client pricing and risk management solutions for financial products across the entire suite of Bloomberg products and services, including its terminal with 300,000+ clients, trading system solutions, buy and sell-side enterprise risk management, and derivatives valuation services.
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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.
$90,000 - $135,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications:Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative fieldCoursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidates should have a strong academic record and a degree in a quantitative field (e.g., mathematics, statistics, economics, or finance) or data analytic field (e.g., political science, sociology, or psychology.
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Requirements:-Bachelor's, Master's, or PhD degree from a top-tier university in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Physics, or a related discipline.
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Master’s degree in a quantitative field such as Applied Mathematics, Computer Science, or Engineering. Solid knowledge in mathematics and statistical methods, with coursework or experience in fields of mathematics, such as probability, mathematical statistics, applied mathematics, data science, algorithms, advanced calculus and linear algebra.
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An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics) Provide quantitative feedback to content and creative team to optimize creative assets and marketing content.
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Master or PhD degree from a quantitative field (Mathematics, Physics, Computer Science, Econometrics, Statistics, Economics, Finance, etc.) The Wholesale Credit and Climate Risk (WCCR) group within Citi Data, Analytics, Risk, Technology (DART) is looking to add an experienced quantitative analyst at Assistant Vice President (AVP) level to join the Loss Forecasting and Analytics team in Tampa, Florida.
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Bachelor’s degree in a relevant qualitative or quantitative field such as: International Affairs, Public Administration, Public Policy, International Development, Strategic Studies, Computer Science, Statistics, Mathematics, or related discipline.
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PhD or MS degree in Applied Mathematics, Statistics, Engineering, or similar quantitative disciplines. You enjoy applying advanced quantitative methods such as statistical modeling, machine learning algorithms, numerical simulations, and optimization techniques to analyze complex datasets and build predictive models.
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Bachelors degree in mathematics, statistics, economics, physics, engineering, actuarial science, or some other quantitative field of study. advanced degree (masters or PhD) in a quantitative field of study.
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