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Requirements:Masters or PhD in a field that emphasizes analyzing, displaying, or reporting on data (e.g., data science, computer science, statistics, math, engineering). Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.
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Bachelor’s degree in accounting/finance, liberal arts with emphasis on critical thinking, math, science or statistics, or engineering with a desire to pivot to finance and credible experience to support pivot.
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Bachelor's degree with a major in a quantitative field (e.g., Finance, Accounting, Math, Statistics); Advanced Degree: CPA or CFA is preferred. The team's specific responsibilities include reconciliation of transactional data from various sub ledgers (Aladdin, Clearwater, Investran and LMS) to the general ledger and ultimately the client's financial statements, as well as all related external reporting for investments (10-Q/K, Financial Supplement, STAT Audited Financials and Investment NAIC reporting.
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Successful track record in a four-year degree program in Actuarial Science, Statistics, Economics, Math, or Business or equivalent experience. PRT allows employers to transfer a portion of their company's defined benefit retirement plan to Securian through the purchase of a group annuity.
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Bachelor’s degree in Finance, Math, Statistics, Economics, Supply Chain, Engineering, or a related field and 4 years of experience. You will lead a team of brilliant analysts skilled in leveraging data to develop technology solutions rooted in sound data science and statistics techniques to spread innovation throughout the company.
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Qualifications: Successful track record in a four-year degree program in Actuarial Science, Statistics, Economics, Math, or Business or equivalent experience. Develops final data file and Welcome Kit mailing to onboard new clients and individual annuitants; works directly with the Benefits Distribution Center team, ALIP team, and the actuarial team to ensure tools and processes result in a seamless new client transition.
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Bachelor's degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 4+ years of experience in one or a combination of the following: reporting, analytics, or modeling.
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M.A./M.S. in Computer Science/Math/Statistics/Physics/Informatics or related technical discipline with one or more years of research training in a research or technical environment Experience with Matlab or Python or R.
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Bachelor's degree in math, statistics, actuarial science, economics or related. Understand business problems and apply statistics, data science, and predictive modeling to develop advanced solutions like GLMs, Machine Learning, and Clustering across a variety of big data, other database platforms (Teradata, SQL databases), and cloud platforms like AWS.
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Bachelor\'s degree in a quantitative discipline (e.g., math, statistics, economics, and epidemiology)Master\'s degree preferred. During the first year, new HSAG analysts are provided formal internal training in statistics, machine learning, clinical epidemiology, SAS, Tableau, healthcare data, and an assortment of healthcare-related topics.
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