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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Lead the CAs and audits for Prisma, Guardium, App Security and associated controls sustainability and prod supportLead organic modernization of legacy applications as well as build functional data expertise on vulnerability management and application security domains.
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Demonstrated 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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We are looking for a Data Scientist to join our Risk Data team. Have a chance to use machine learning tools to develop data-driven solutions. Experience driving data-driven solutions and project-managing their implementation.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. 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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Experience working with SQL DBMS systems (eg., SQL Server, Oracle, Redshift, Teradata)Experience in the data warehouse spaceSecurity, Stability, Reliability, Scalability, Fault Tolerance, Performance, Monitoring Compensation USA Compensation Range: $80,000 - $82,000 Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
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10+ years of experience in designing mechanical systems for the high performing, commercial, industrial or mission critical/data center buildings. kW Mission Critical Engineering, a WSP company, is a high-performance, fast-paced consulting engineering firm designing data centers and mission critical environments across the globe.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$88,564 - $170,913 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow etc. Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks.
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Align with Other Data Management Disciplines : Engage with the Data Governance, Data Stewardship, Data Privacy, Master / Reference Data Management, Data Architecture, BI and Data Warehousing, Data Science, and other teams to ensure data quality and metadata management activity aligns with the other capability needs including the Global Data Governance Accountability Framework.
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Working knowledge in Data Management tools such as Collibra DQ, Alation, Tosca or others. Responsibilities will include data operations, analytics, and stewardship with the purpose of maintaining data quality and integrity in our platform.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Eclaro International is currently recruiting for AML Data Quality Audit Manager for one of our financial services clients. s a member of the Data Quality (DQ) Audit team, the candidate will execute audit programs designed to measure and report on data risk across the enterprise.
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Coverage areas include Accounting, Finance, SOX, Regulatory Reporting, ESG, Capital Management, Basel, Treasury, Liquidity, and RRP. Typically works on projects of moderate to high complexity that would involve learning, as candidate will be responsible for testing the completeness and accuracy of data from point of origin to systems of record, through business use (e.g., reporting) by independently querying systems data.
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Title: data Company: Viaplus By Vinci Highways in Charlotte, NC
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