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5+ years of experience working on a prop trading, quantitative trading or electronic trading desk (investment bank, hedge fund, etc. With roots as a quantitative trading firm continually building for the future, the GTS family of companies are able to leverage the latest in artificial intelligence systems and sophisticated pricing models to bring consistency, efficiency, and transparency to today’s financial markets.
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Master's degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Scientist or performing predictive analytics within the financial services or insurance industry.
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To fulfill this role, a risk professional is required who has experience in market risk management and credit risk management areas, or has training in finance, mathematics or other quantitative fields.
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Computer science, electrical engineering, information systems and decision sciences, computer engineering, mathematics, telecommunications, or computer information systems will substitute for up to one year of required experience.
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Bachelor’s degree with major in quantitative field (e.g. Accounting, Economics, Engineering, Finance, Mathematics); MBA preferred. Partner with and collaborate across functions on analytics and strategic initiatives, including, but not limited to, Underwriting, Actuarial, Reinsurance, Claims, and Operations.
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MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering.
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Bachelor's degree in mathematics, engineering, economics, or another quantitative field (or equivalent additional experience) Strong data storytelling skills, including data visualization, technical writing, and business writing.
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Degree in a quantitative field, i.e. statistics, economics, mathematics, computer science, or other related field. We will rely on your depth of knowledge in quantitative analytic methods, data management.
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Required Experience: Bachelor's degree in a quantitative discipline, such as Data Science, Mathematics, Business Analytics, Econometrics, Engineering, Sciences. Hands-on experience in data extraction and data manipulation in cloud data environments (preferably Snowflake), using languages such as SQL, Python, Hive.
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Requirements: Master’s degree in Applied Mathematics, Financial Mathematics, or related quantitative field. Five (5) years of experience as a Investment Banking Vice President, Financial Quantitative Analyst, Financial Consultant, Financial Engineer, or related role.
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B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses.
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REQUIREMENTS: Minimum of three years related experience performing business analysis, data analysis, or other quantitative/qualitative research work. Education: Bachelor's degree with a focus in Economics, Finance, Computer Science, Mathematics, or Business Information.
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Hugely successful multi-strat Hedge Fund manages nearly $80 billion across a range of Credit & Real Estate strategies, now seeks to hire a quantitative risk manager for risk reporting, risk analytics and data management of one or more credit and/or arb strategies, including credit solutions, structured credit, middle market lending, convertible arbitrage, and risk arbitrage.
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Each applicant must also have an associate degree from an accredited college or university in computer science/information processing, mathematics, statistics, quantitative analysis, or a related field.
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The Data Scientist will have training in statistics, epidemiology, applied mathematics, data science, engineering, or a related quantitative field, and possess some programming skills. Requires a Master’s Degree with 2 years of experience, or a Ph. D. in Statistics, Epidemiology, Applied Mathematics, Computer Science, Data Science or a related field.
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