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Bachelors degree required preferably in related field of study such as actuarial science, math/applied math, statistics/applied statistics, economics. Strong technical aptitude, such as programming experience with Python, R, SAS, or SQL required.
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Undergraduate degree in a quantitative field, such as Finance, Economics, Computer Science, Statistics or Engineering. Basic programming and/or statistical software experience (advanced Excel/VBA, SQL, Matlab, Python, R, etc.
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The Department of Applied Mathematics is the only mathematics/statistics department at Illinois Tech that offers BS through PhD degrees, including a nationally ranked Master of Data Science in partnership with the Department of Computer Science, and the newly launched Master of FinTech.
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Candidates with backgrounds in fields or applications related to financial technology and engineering are invited, including statistics, computational finance, machine learning, mathematical finance, optimization, data science and visualization, cybersecurity, robo-advising, and blockchain engineering are invited to apply.
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Familiarity with one or more of the following areas, including HIV/STI prevention research, epidemiologic study design, network analysis, public health surveillance, and/or clinical and social science research methods, or willingness to gain knowledge in these areas.
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Bachelor’s degree in computer science, engineering, math, physics, statistics or any quantitative-focused course. S. Computer Science or related technical field. Rapidly growing proprietary international trading firm seeks Cryptocurrency Software Engineers to join its team to learn the landscape of Bitcoin and other digital currencies and develop systems that will contribute to our low-latency trading platform.
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Graduation from an accredited college or university with a Bachelor’s degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or Information Technology/Systems or a directly related field, plus three (3) years of experience in data analysis or data management; or an equivalent combination of education, training, and experience.
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What We're Looking For Basic Qualifications Advanced degree (or equivalent) in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program.
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Bachelor degree in Actuarial Science, Mathematics, Statistics or Economics. This Position Is Responsible For Participating In Implementation, Maintenance And Basic Analysis Of Models, Studies And Systems Which Use Actuarial Principles For The Purposes Of Pricing, Underwriting, Statistics, Reserving, Forecasting And Other Actuarial Functions; Running, Building And Analyzing Results Of Basic Models; Developing Oral And Written Presentation Skills; And Learning Basic Business And Actuarial Concepts.
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Bachelor's Degree in a technical or quantitative field (Financial Engineering, Mathematics, Financial Math, Statistics, Computer Science) Previous programming or scripting experience (using Python, R, VBA or similar) required.
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A community of self-starters from multiple tech backgrounds – math, computer science, statistics, physics, engineering – they have built one of the world’s most sophisticated computing environments for research and development with data at its core.
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Pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or other quantitative Business field. Work with the Advanced Liquidity team to assist with GCP data migration.
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A Bachelor’s or Master’s degree in computer science, operations research, statistics, applied mathematics, management information systems, or a related quantitative field or or equivalent work experience such as, economics, engineering and physics.
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Bachelor's degree in Business Administration, Economics, Statistics, Computer Science or related field; Master's degree preferred. This is a 100% remote position with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro area.
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Advanced degree in quantitative fields such as Mathematics, Financial Mathematics/Engineering, Quantitative Finance, Statistics, Econometrics, Physics, computer science, or equivalent and 2+ years of industry experience.
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