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Qualifications:Computer Science, Statistics, Mathematics, Physics, Econometrics, Computer science or Engineering, Business / Economics. VP, Portfolio Management Data ScienceNew York, United States of AmericaCorporate and Investment Banking (CIB) Credit Risk Portfolio Management, within the Credit Risk Area in Second Line of Defense, is a critical component of the Risk Management function in Santander group in the USA, responsible for the monitoring of the CIB s credit portfolio.
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Bachelor’s degree in Business, Computer Science, Management Information Systems, Engineering, Mathematics, or related field is required. Minimum 1 years of work experience in Information security, cybersecurity, vulnerability management, security architecture, network, security tools and computer systems administration.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Optimize data storage, retrieval, and processing using services like Amazon S3, Redshift, Glue, and Athena. Our financial services client is seeing an AWS Engineer to join the team.
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Our client, a leading global private equity (PE) firm with over $80B in AUM, is seeking a full-time IT Cyber Security Architect (hybrid schedule of M-W onsite, Th-Fri remote) to build out and their security roadmap and provide technical expertise in the design, implementation, and maintenance of the firm's information security program.
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Preferred Skills:- Knowledge of Microsoft Office Suite including Outlook, Word, Excel, PowerPoint and SharePoint- Ability to train on database systems such as the Agency’s Laboratory Information Management System (LIMS) and Water Information Systems by Kisters (WISKI) data management systems- A general knowledge of field sampling equipment and standard water quality sensors.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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ML Ops: Design and Build customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domainsTechnical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains.
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Data science, machine learning, optimization models, PhD 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.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Basic Qualifications:Minimum of 5+ years of product management experience with strong focus on building and delivering successful data products, services and capabilitiesBachelor’s degree in a relevant field required, such as Engineering, Math, Science, Economics, etc.
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Experience using analytics / BI packages (e.g., SAS, R, SQL, Cognos, Business Objects) to build client analysis solutions. The team independently maintains the HEDIS/QARR data repository that informs reporting of HEDIS, QARR, and PCMH data to NYS DOH and CMS. To that end, the team carries the responsibility of ensuring the monthly rates and annual HEDIS and QARR submissions are timely, and quality checked for accuracy and completion.
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Minimum 3-5+ years experience working in the nonprofit sector and strong program management and/or financial and data management experience. Relationship Management Manage communication with partners about current data systems and lead efforts in enhancing internal and external data systems.
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Industry Preference – Banking & Financial Services Travel : 5 days a month Basic Qualifications: Bachelor’s degree in engineering or equivalent experience Validated experience in a business growth / sales role in data management, analytics, and AI across multiple industries especially banking and financial services Experience with data migration, data management, governance analytics and reporting.
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Support efforts to foster cooperation and coordination between ILS and other programmatic components within the RAI U.S. network, including Resettlement, through training and information sharing on topics such as unauthorized practice of law, refugee family reunification, documentation of immigrant eligibility for HHS-funded benefits and services, among others, to increase program integrity and effectiveness.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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client services computer science data management information jobs Title: services consultant in Brooklyn, NY
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