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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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A strong grasp of one or more financial modeling disciplines such as credit score modeling, asset-liability management, stress testing, term structure modeling, fraud detection, value-at-risk, capital planning models, loan loss reserve (CECL) modeling, etc.
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15+ years' experience with a primary focus as an executive in a Security Risk Management leader role such as, Chief Information Security Officer (CISO), Security Practice Group leader, or Chief Security Officer (CSO) within a Fortune 500 company.
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Our Commodity Trading & Risk Management advisory practice is the epicenter of innovation, where we tackle the toughest challenges head-on and drive monumental shifts in the commodities landscape.
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Qualifications REQUIREDBachelor’s degree in health sciences, public health, healthcare administration or related field or Certified Medical Assistant (CMA) certification and five (5) years of experience in ambulatory settingCertified Professional Coder (CPC) or Certified Risk Adjustment Coder (CRC) credential.
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At least 2 years of experience in information technology (operations, software delivery, access management, microservices), information security (application security, network security, cyber security, data protection), information systems risk management, information systems auditing, or a combination.
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Experience and proficiency with a Learning Management System. The Learning & Development Partner reports to the Learning & Development Manager and serves Brasfield & Gorrie’s internal clients as a learning and development professional.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Our programs include primary and preventive health care, dental and vision, culturally appropriate health education, chronic disease management and prevention, integrated HIV/AIDS-related services and integrated behavioral health and substance use care.
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This individual will be responsible for executing on the operational security program, overseeing Vulnerability Management, Data Security and Protection, Cloud Security, Infrastructure Security, and the Cyber Threat Intelligence program.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. This role will also report to the North America VP of IT & Data. This role requires a deep technical understanding as well as robust management skills to align data solutions with the organization’s strategic goals.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Enterprise risk management system implementation and process management. This position will need a hands-on leader who excels at customer management, project estimation, project execution, risk management, and implementation team formation and oversight including project managers and administrators.
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Experience: At least two to five years of medical coding, auditing experience on Risk Adjustment for Medicare and Medicaid or Retail Exchange business experience with process management.
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Develop software for the Robotic Control System and fleet manager who is responsible for optimizing work assignments, AMR fleet movements, and energy management·Apply Modern AI and machine learning methodologies to solve complex robotics problems involving the synthesis of solutions that can measurably streamline the operations of fleets and swarms of robots.
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machine learning deep risk management jobs in Atlanta, OR, Canada
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