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Accounting, Finance, Management Information Systems, Management Information Systems & Accounting, Computer and Information Science, Computer and Information Science & Accounting, Mathematical Statistics, Statistics, Mathematics, Economics, Economics and Finance, Economics and Finance & Technology, Business Administration/Management, Engineering.
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Track record of successful product development and deployment using modern software engineering, DevOps, Agile, SCRUM and sprint practices, Azure or AWS, and Docker or Kubernetes. + Must exhibit a working knowledge of outpatient Laboratory Information System (LIS) (Antrim preferred), Lab/Pathology systems, Inventory Systems, Reporting, Salesforce and major brand of Financial systems.
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Deep familiarity with Scala or Java Experience working with high-scale systems: realtime and batch Interested in data engineering to develop ingestion engines, ETL pipelines, and organizing the data to expose it in a consumable format Passionate about helping your teammates grow by providing insightful code reviews and feedback You will need to accommodate Eastern Time Zone workday Perks This role can be 100% remote or you can choose to work out of an Experian office.
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Support the integration and release of quant code into production systems in association with our Model Validation and Engineering partners. Ph. D. in a quantitative field such as Mathematics, Physics, Engineering, Quantitative Finance or equivalent experience.
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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products.
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Five to 10 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.
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Knowledge of vendor BSA/AML transaction monitoring systems (e.g., Actimize) · Apply data from BSA/AML Compliance Department stakeholders to translate qualitative risk factors into responsive risk models that leverage new technology.
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Our group is dedicated to better understanding the biology of cancer through the analysis of large-scale sequencing data, including WGS, WES, RNAseq, ctDNA NGS. As a Senior Computational Biologist , you will play a critical role in driving forward our research efforts and collaborating with clinical and industrial partners.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and 2.
$61,600Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced degree in financial engineering, statistics, mathematics, or similar quantitative field. Experience with structured credit (RMBS, CLOs, CMBS, ABS) Our client, a $500 billion asset manager in Manhattan, is looking for a quant modeler to join its Quantitative Analytics team within a newly formed division within the firm.
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West Monroe has an opportunity for a strategic Data Engineering Managing Director/Partner to join our Technology practice. Lead, mentor and grow data engineering consultants and actively participate in the career advisory and performance management process.
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Understanding of data engineering platforms such as Databricks or Snowflake, and machine learning platforms such as AWS Sagemaker. Formal training or certification on site reliability engineering concepts and 3+ years applied experience.
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Responsibilities:Prepare traffic engineering studies and designs including:Traffic signal design Transportation engineering and traffic planning studies. STV, a nationally recognized leader is seeking an experienced Traffic Engineering Specialist to join our growing transportation engineering team in one of the following offices: Newark (NJ), Lawrenceville (NJ), Philadelphia (PA), Pittsburgh (PA), Harrisburg (PA), or Douglassville (PA.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, Statistics/Biostatistics, Bioinformatics, or related field.
$70,000 - $77,000ExpandApply NowActive JobUpdated Today
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