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KCC professionals are globally recognized experts in catastrophe modeling and risk management. Bachelor's or Master's STEM degree - computer science, data science, economics, mathematics, actuarial sciences, engineering, or physics preferred.
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The team is skilled in all phases of risk and resilience, from understanding global regulatory requirements and leading practices to designing and implementing right-sized capabilities throughout the business, technology/ cybersecurity, and third-party risk management lifecycles.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques.
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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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Minimum 1year of experience working as a program/project manager or equivalent experience in consulting, quality measurement, quality improvement, patient safety, patient experience, clinical compliance and risk management.
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DE creating software features to implement complex workflows for Governance, Risk, and Compliance (GRC) solutions using Access Control, Advanced Workflows, Data Driven Events, end-user reports, application notifications, and Mail Merge within RSA Archer platform.
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Master's degree in Public Health, Epidemiology, Data Science, Healthcare, Mathematics, Economics, Statistics, Research Methods, or related fields. Reporting to the Senior Director of Commercial Data Products, the Director of Commercial Data as a Service Products will play a critical role in achieving our product strategy within the Life Science Product Organization.
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions; internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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This position reports to the Executive Director of MSLs. The MSL will have contact with internal colleagues in compliance, regulatory, pharmacovigilance, marketing, sales, research and development, medical science, medical information, market access, training, strategy and portfolio management, and HOVA. This internal collaboration is considered a fundamental and essential part of the position.
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We are a team of physicians and public health experts (Stanford, Dartmouth, Harvard, Mass. General), technologists (athenahealth, Apple, Amazon, Meta, Flatiron, WalMart Health), healthcare innovators (Oscar, Aledade, VillageMD, Stellar, Arcadia) and experienced risk management professionals (CVS/Aetna, Humana, Cigna, United) who believe that primary care providers (PCPs) are the key to the United States’ future health.
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As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science. Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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Solicit response from Portfolio Management for the voluntary corporate actions and ensure the elections are registered with the appropriate custodiansMaintain key data elements of Charles River OMS to include commission tables, fees, and brokers.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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data science risk management jobs Title: data conversion in Boston, Chalmette, Louisiana
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