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The Department of Mathematical Sciences offers undergraduate degrees in Actuarial Science, Data Science, Mathematical Sciences, and Mathematics & Computer Science, and offers graduate degrees in Pure Mathematics, Mathematics Education, Mathematics for Teaching, Applied Mathematics, and Applied Statistics.
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Disciplines: Curriculum and Instruction, Early Childhood, Elementary Education, Doctoral Programs, Educational Leadership, Reading and Language Arts, Secondary Education, Special Education, Mathematics Education (middle grades), Technology in Education, Student Teaching Supervision, School Psychology, and Teaching, Learning and Assessment.
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Basic Qualifications: A bachelor's degree, preferably in a technical discipline, e.g., computer science, data science, engineering, applied mathematics, or closely related field or equivalent on-the-job experience.
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Data Gathering, Preparation, and Governance : Oversee design and build out of appropriate data governance to ensure that data is complete, consistent, correct, accurate, and timely for internal testing and future submission to the US Federal Reserve Bank; oversee determination, design, and implementation of CCAR production infrastructure, data, and technology needs (e.g. modeling data, model production environment, regulatory reporting.
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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Economics, Engineering, Engineering and Business, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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Own reference data and investment characteristics of multiple security types while supporting Portfolio Management, Quantitative Research, Trading, and other Firm constituencies. The Data Management Analyst works closely with personnel in Investment Management, Performance Analytics, Securities Operations, IT and other groups and clients, as needed.
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PMO lead for onboarding and embedding an ESG Tool, including Carbon Accounting – data sources, aggregation, formatting; process framework and data input controls, change management to embed into ways of workingAssist to design and embed a cost model covering revenue, GP, overhead, fixed costs, and EBITDA to provide multiyear revenue and EBITDA projections to support Sustainability CAPEX/OPEX investments and realize Sustainability Strategy / timely regulatory compliance.
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O Finance Transformation (Planning, Financial Reporting, EPM, Program/Project Management, Change Management, Financial Systems Integration) o Financial Process automation, standardization, organizational consolidation (e.g. Creating, Defining Finance Centers of Excellence, automating processes through robotics or applied intelligence, machine learning.
$93,400 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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They will act as a translator, champion and ambassador of our data platforms, connected data products, analytics, tooling and capabilities across IT. They will possess data and technical skills, strong pragmatic leadership abilities and a deep understanding of data management and governance principles and technologies.
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Requirements Bachelor’s degree in Finance or Economics, Accounting, Business or Business Administration, Mathematics or equivalent combination of education and experience required; Preferred: CPA, MBA; MPA, Law, or Master’s in Finance with business experience or other related professional fields.
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Demonstrated deep Data Modeling knowledge and 10+ years’ experience using Data Modeling tools like Lucidchart (current Advantage Solutions standard), Draw.io, Erwin Data Modeler, ER/Studio, Oracle’s SQL Developer Data Modeler, Toad Data Modeler, PgModeler.
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JD, MBA, CTFA, CPWA or STEP Certification in International Trust Management is preferred. Job Title: Senior Trust Advisor, Global Family Office (GFO) In discretionary investment management situations, they work closely with the Portfolio Manager (PM) and, in investment delegation situations, with the external investment advisors on portfolio design asset allocation and implementation.
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Feature Prioritization and Delivery: Collaborate with Product Management and Data Science partners to prioritize features and guide delivery timelines. You Have: 8+ years of experience in batch and streaming ETL using Spark, Python, Java, Snowflake or Databricks for Data Engineering or Machine Learning workloads.
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Assists the data and analytics team with data collection, management, and analysis. To learn more about the Crime Lab and Education Lab, visit The Role: The University of Chicago Crime Lab and Education Lab are seeking a Data Project Associate with strong technical skills to work on large-scale social policy research projects designed to reduce crime and improve educational outcomes.
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As a well-rounded Data Center Engineer, you will be part facilities engineer, part network engineer and part project manager. Data Center Engineer. Understanding of multi-tenant data center environments (carrier hotels and co-location facilities.
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