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Advanced data analysis experience, with a demonstrated ability to conduct analysis with statistical programming packages, including at least one of the following: R (preferred), Stata, Python, MATLAB, SAS, SQL, or equivalent.
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3+ Years of Experience in any programming language (Python, R, Scala, Java) 3+ Years of Experience working with ERP systems like SAP focusing on data integration. Design repeatable and reusable solution architectures and data ingestion pipelines for bringing in data from ERP source systems like SAP. Manage data integration with tools like Databricks and Snowflake or equivalent data lake and data warehouses.
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Programming Languages R, Python and SAS for data treatment and performing econometrics analysis. Perform and review validation tests using computer programming languages, such as open sources analytical tools including Python, R, as well as SAS, and SQL. Prepare business as usual and ad-hoc reports in accordance with the Risk Management Teams priorities and requirements, running integrity checks on the reports and checking key numbers from other independently created reports.
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You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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Demonstrated fluency in one or more programming languages (e.g., SAS, R, Python, Perl, Java, C. Write code and programs in SAS (preferred), R (less preferred), or both (most preferred) to statistically analyze data collected for various research projects.
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4+ years of experience with Python, R, Spark or SQL. As a candidate for this role, you’re able to seamlessly switch from executive-level risk conversations to diving deep into controls and technology to driving high level, strategic discussions around metrics, data, and risk analytic reporting solutions.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
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Excellent programming skills in languages such as Python, R, or Perl. Experience with NGS data analysis, including variant calling, annotation, and visualization. Responsibilities:Clinical Genomic Data Analysis and Interpretation:Perform bioinformatics analysis of genomic data obtained from clinical samples, including next-generation sequencing (NGS) data, microarray data, and other relevant data types.
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Expert in Spark SQL, PySpark, (Python and/or R programming language) which includes experience in libraries such as Pandas, scikit-learn, R (tidyverse, glm, caret etc. FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Proficiency in programming languages such as Python, R, or SQL, with hands-on experience in data manipulation, analysis, and modeling. Building out data lake cloud infrastructure within solutions like AWS, Snowflake, Databricks, Cloudera, Google Cloud, Azure, etc.
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Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python.
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Analyze large volumes of internal and external data using common data science tools (SAS, SQL, R, Python, etc.) Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, Perl, R, etc.
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4+ years of experience in machine learning, data science, or data analytics experience. You have experience managing multiple high-visibility and high-impact enterprise cybersecurity initiatives with cross-functional teams while maintaining superior results through risk analytics, data governance, and insight generation.
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The individual will collaborate with IT, Data Governance Team, Credit Risk, Finance, Model Risk Management, Auditors, Off-shore consultants, vendors, and LoB partners throughout the Bank. The scope includes working across one or more of our main subject areas: R&D, Quarterly CECL Production and Dual Risk Rating Underwriting models.
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You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker. You have strong skills in Python, R, SQL, and Hive queries.
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