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The Staff Data Scientist will build internal and external data products that will be used cross-functionally inside the company (operations, engineering, fraud detection and mitigation, etc.
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Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS; Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Data Processing/Analytics/Science, Mathematical Economics, Mathematical Statistics, Mathematics, Operations Management/Research, Statistics.
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Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner. Big data tools like Spark, Kafka, Snowflake, Databricks, etc.
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Ensures operational efficiencies and customer data integrity in accordance with internal policies and procedures of SMBC and Head Office and compliance with AML/BSA/OFAC regulations. Within the Compliance Operations Department, the Account Control Group (ACG) QC is responsible for performing processes related to Know Your Customer (KYC/CIP), assessing the quality of KYC folders, assisting with specialized projects, and supporting the ACG VP with day-to-day operational processes and reporting within ACG. May act in capacity of team leader or individual contributor.
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We are looking for a Murex Analyst with a specialized focus on data quality and risk model validation. Troubleshoot and resolve issues pertaining to data quality, ensuring the integrity of static, market data, and scenario analysis.
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
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Advanced knowledge of financial data platforms (Bloomberg, Morningstar, FactSet) 5+ years experience in utilizing financial data platforms such as Bloomberg, Morningstar, and/or FactSet.
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We are hiring for a Principal Product Manager (Technical) to drive the evolution of products which provide Amazon business teams and selling partners (marketplace sellers and retail vendors) with comprehensive, accurate, and standardized metrics in a timely manner to enable high quality, high velocity decisions.
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In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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Be a strong advocate for a culture of process and data quality across development teams. Support bug fixing and performance analysis along the data pipeline, including writing tests & coordinating with Quality Assurance teams.
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You should provide expert-level advice to data scientists, data engineers, and operations to deliver high-quality analytics via data pipelines and APIs. At least two years two years experience designing and building highly scalable data pipelines using Airflow & Databricks.
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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
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Identifying and maintaining key aspects of our Data Governance, including Key Data Element population, Data Quality management, Lineage - in line with best practice and regulatory expectations.
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Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL.
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Including, Kubernetes, Microservices, Cloud Data bases MongoDB, Kafka, Spring Boot, DevOps, Jenkins, React, Node.js. Knowledge of data analytics, machine learning, and AI applications in pharmaceutical manufacturing.
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data quality jobs Title: data scientist Company: Deloitte in Brooklyn, NY
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