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Finance, business administration, economics, accounting, insurance, engineering, mathematics, banking and credit, law, real estate operations, statistics, or other fields related to the position, such as agriculture, agricultural economics, farm, livestock or ranch management, or rural sociology.
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Advanced degree in quantitative finance, financial engineering, mathematics, statistics, or a related field. Identify and quantify various sources of risk, such as credit risk, interest rate risk, and liquidity risk, and develop strategies to mitigate these risks.
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Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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To be considered for this opportunity you must have a Master's degree completed by start date and 7+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience OR Bachelor’s degree and 12+ years of business analytics, statistics, data mining, applied mathematics, engineering, computer science or related field experience.
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Bachelor’s degree in statistics, actuarial science, mathematics, engineering or similar quantitative fields; or significant experience in advanced data analytics. Experience developing models in cloud-based tools in Azure such as Databricks, Snowflake, Github.
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Requires Bachelor’s degree in Finance, Financial Engineering, Information Engineering, or a related field of study, plus two (2) years of experience with conducting empirical research and analysis with large data sets; econometrics or statistics; and programming in MATLAB or Python to implement financial models and analyze complex datasets.
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This includes engineering theory, physics, calculus, basic statistics, and computer skills. This is the entry level position for an engineer requiring no work experience and expertise beyond that required to attain a BS in Engineering, from a school accredited by the Accreditation Board for Engineering and Technology (ABET.
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Strong mathematical and analytical capabilities; pursuing ACAS/FCAS designation or clear mathematical degree (engineering, mathematics, statistics, etc.) Strong mathematical and analytical capabilities; pursuing ACAS/FCAS designation or clear mathematical degree (engineering, mathematics, statistics, etc.
$104,000 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Currently pursuing a degree in: Food Processing Engineering, Food Science, Microbiology, or Chemistry. Passion for leveraging data and creating meaningful insight leveraging key Data analytics techniques include those such as data/text mining, machine learning, pattern matching, visualization, and statistics.
$62,100 - $85,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago
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