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Knowledge of structured products and/or risk management in a fixed-income environmentExperience with integrating data/memory-intensive processes into a cloud-based environmentis Why is This a Great Opportunity: Working for a profitable Asset Manager in Midtown, Manhattan with a flat structure that's expanding.
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Assist with preparing environmental survey reports, data entry, impact assessment, and assist with permitting activities for assigned projects (e.g. Endangered Species Act, Clean Water Act permitting, CEQA, NEPA, etc.
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Strong quantitative skills, including proficiency in statistical analysis, econometrics, stress testing, decision science, and other risk measurement techniques. Combine both internal and external data to conduct analysis to provide meaningful insights on risk management strategies and the macroeconomic environment.
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5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry. Strong knowledge of data analytics, data science, and ETL processes.
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Process AI & Automation Developer (Manager) (Multiple Positions) (1509604), Ernst & Young LLP, New York, NY. Analyze business and data processing problems to implement and improve computer systems using robotics technology.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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As a Quantitative Trader, you'll draw on your knowledge of mathematics, computer science and statistics to uncover patterns in vast amounts of financial data and deploy profitable trading strategies to markets around the world.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Lead and participate in solutioning sessions, working hand-in-hand with business / client, translating business objectives into actionable machine learning / data science use case. Expertise in defining, architecting, and delivering data and analytics solutions on AWS, GCP, or Azure cloud, as well as experience with Snowflake or Databricks platforms, and other related platforms and services.
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.
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Qualifications:Bachelor's or Master's degree in Exercise Science, Exercise Physiology, or a related field. Position Overview: As an Exercise Physiologist specializing in cardiac rehabilitation, you will play a crucial role in guiding and supporting patients and athletes through their personal health journey.
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5+ years of experience in test automation and testing integration functions same or like RCSA related business controls Proven hands-on experience in Java, JEE, Streaming, API, Microservices, Containerization and UX/UI tools such as Angular JS/React, etcIn-depth knowledge on data engineering, DB models and architecture in RDBMS, Big Data and other cloud databases such as snowflake, Databricks, etc.
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Audible Content Data Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We operate in an agile environment in which we own the life cycle of research, design, model development and, often, deployment.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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The employer will alternatively accept a Master's degree in Software Engineering, Computer Science, or related field of study plus 3 years of experience in the job offered or as Software Engineer, IT Consultant, Software/Java/Application Developer, Programmer Analyst, or related occupation.
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big data science jobs Company: Acxiom in Jersey City, NJ
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