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Expertise in Murex, particularly Credit & Market Risk configurations (PFE, CVA, VaR), Trade interface development (TDS, LTS), Market Data interface development (mdit), static data interfaces, workflow configuration, datamart reporting.
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At least 10 years of experience in computer science, information technology or a related field preferably at a production studio, advertising agency and/or marketing company with focus on data-driven, omnichannel marketing.
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5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, etc 3+ years of experience prepping structured and unstructured data for data science models.
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Reporting directly to our Director of Engineering , the Senior Software Engineer will work closely with other engineers of varying disciplines (DevOps, QA, Front-End ReactJS, Full-Stack Ruby, etc), product, data science as well as other parts of the organization.
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The University has received more than $80 million in funding for applied research projects in urban development, child development, school improvement, and teacher preparation. Disciplines: Curriculum and Instruction, Early Childhood, Elementary Education, Doctoral Programs, Educational Leadership, Reading and Language Arts, Secondary Education, Special Education, Mathematics Education (middle grades), Technology in Education, Student Teaching Supervision, School Psychology, and Teaching, Learning and Assessment.
$43,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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An undergraduate degree in a quantitative field of study such as mathematics, engineering, or computer science, with a strong preference for a CFA candidate or CFA charterholder. Assist in quantitative analytic projects across the portfolio such as asset allocation, risk management, and sensitivity analysis.
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Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing.
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Are you a science geek who spots errors a mile off – a misplaced decimal, a wrong reference, DNA masquerading as RNA? Any data provided as a part of this application will be stored in accordance with our Privacy Policy.
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Expertise in Excel (or comparable quantitative applications) with the ability to efficiently build models and assess data sets at scale; 6-8 years of direct experience in sponsorship marketing or brand marketing quantitative analytics.
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Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines. Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture.
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The Quantitative Risk Management Analyst joins a very dynamic team exposed to and challenged with complex pricing and risk management problems requiring quantitative research, large scale implementations, supporting numerical libraries, prototyping and supporting of state-of-the-art front office pricing and risk management systems.
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Must be able to understand basic biomechanics and sports science principles and how they relate to sports turf systems while being able to communicate those to customers concisely. We meet diverse customer needs through an expansive portfolio of brands, including: Anderson Tuftex , COREtec , Patcraft , Philadelphia Commercial, Shaw Contract, Shaw Floors, Shaw Hospitality, Shaw Sports Turf, Southwest Greens, USFloors and more.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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applied quantitative data science jobs Company: Abbvie in Chicago, IL
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