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Years of Experience: level 2 (3<5 years) Right to hire: Yes Job Description: Prudential Global Technology is seeking an onshore resource, with RTH that will support reporting needs (Tableau, Python, Data modeling and optimization.
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Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow.
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Technology:SQL Server, Snowflake, Azure Cloud, ADF, Azure Functions, Python, PowerBI, Log Analytics, App Services, Event Hubs, DBTMinimum Experience and KnowledgeSolid understanding and implementation experience of data vault 2.0 methodology.
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Hands-on programming (in SQL in particular and high-level programming language such as R, Python, MATLAB) and model development experience serving risk management or capital market business. Facilitate model risk management activities.
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Our stack currently consists of PHP, MongoDB, Redis, Docker, Javascript (and Node.js), Vue.js, Go and Python to name a few. Experience with functional programmingExperience shipping products for enterprise companiesExperience with email layout codingKnowledge of web server-side oriented languages (PHP, Python, Golang, Javascript for Node.js) and frameworks (Laravel, Zend, Symfony)Knowledge of relational and document oriented databases (MySQL, MongoDB)A great sense of humor What we offer.
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Scripting or programming skills (Python, PowerShell, Bash) for automation is a plus. The ideal candidate will have a strong background in system administration, bulk deployment, working with distributed systems, a deep understanding of networking principles, network security, and incident response, along with proficiency in tools such as EDR/XDR, SIEM, and SOAR. As a Cyber Security Engineer, you will play a crucial role in safeguarding our organization s digital assets, ensuring compliance with security policies, and proactively identifying and mitigating cyber threats.
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Job ResponsibilitiesConduct innovative research and development in Generative AIDevelop and transfer novel technologies to Adobe productsResearch and develop novel large-scale foundation models in Generative AICollaborate with extraordinary researchers and engineers to bring research ideas to productionAbility to convert a research idea/paper to code in Python and typical machine learning development toolkits.
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Our modern tech stack includes Kafka, Elasticsearch, AWS, MongoDB, Kubernetes, ArgoCD, Java 11, Spring, Python, React, and others. Our modern tech stack includes Kafka, Elasticsearch, AWS, MongoDB, Kubernetes, ArgoCD, Java 11, Spring, Python, React, and others.
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Knowledge and experience with NLP (Natural Language Processing) algorithms and libraries within Python and related languages such as R or Scala. Looking for a a Lead Data Scientist with expertise in Algorithm Development and Python.
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Working knowledge of BI tools, SQL/Databases, Alteryx, Python, Tableau, etc. Lead Solution Analysts will be a part of the Financial Institutions Data Tribe, focusing on Retail banking segment, comprising content experts with strong industry knowledge, and executing and updating different proprietary assets such as peer benchmarks, databases, consumer insights and diagnostic tools.
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Experience with popular blockchain programming language like Solidity & Rust along with Python or Java or React/Angular. Experience with popular blockchain programming language like Solidity & Rust along with Python or Java or React/Angular.
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Strong knowledge with databases, such as Redshift, and Python computing stack via cloud platforms such as AWS and Databricks. Strong knowledge with databases, such as Redshift, and Python computing stack via cloud platforms such as AWS and Databricks.
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Proficiency in Python/SQL is necessary - analysis, scripting, tool buildingBuilding and maintaining strong relationships with PMs and Traders. This individual is expected to regularly interact with the Chief Risk Officer & Chief Investment Officer to discuss macro trends, PnL movement, risk limits, and hedge strategy overall.
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Basic knowledge of CX Support data and metrics such as Contact Volumes, Ops KPIs, and SLAs.·Knowledge and experience with AI/ML technologies and their applications in CX.·Proficient in Python and SQL. Preferred experience with Salesforce and Looker.
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Experience with one or more of these technologies:Backend using Python Web Frameworks (Flask, Django, FastAPI, etc.) APIs leveraging GraphQLData Management Systems (PostgreSQL, Elasticsearch, Cassandra, Kafka, etc.
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