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2+ years of coding experience in SQL, Python, R. Being strongly skilled at manipulating and integrating data from a variety of sources. - Risk analytics/operations, data science experience or similar quantitative business responsibility for financial services, eCommerce, or operational performance highly desirable.
$144,000 - $240,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Query/database and business intelligence tools such as Cognos, Tableau, PowerBI, SQL and data governance fundamentals. · Strong analytical skills and business orientation with proven ability to use data and analytics to drive business results and identify and quantify levels of risk.
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The Portfolio Credit Risk Management department is a high performing, dynamic team within Western Alliance Bank. The ETL and SQL Data Analyst - Portfolio Credit Risk will take an ownership role in populating the Bank's loan and deposit data warehouses with responsibilities including data sourcing, ingestion, integration, validation, and reconciliations to the general ledger.
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Reasonable familiarity with some statistical tools (SAS, R, Python) and data analytic/visualization tools such as SQL, Tableau, Excel and PowerPoint. May need to participate in the process of ACL Production and/or Stress Testing from input data quality check, model simulation, attribution and gap analyses, result aggregation, deck preparation to final documentation.
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Experience using analytics/statistics to solve complex business problems - Big Data, Python / SQL, ML studio, Data visualization tools. This position will report directly to the Director or Credit Risk StrategyHow you will make an impact:Developing and managing credit risk decision strategies by creating data driven insights and analytics across customer lifecycle; i.e. New Accounts, Portfolio and Line Management and Collections, and across WEX products and lines of business.
$63,000 - $84,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced working knowledge of one or more of the following quantitative programming, data analysis, database skills, numerical and statistical tools such as: Stata, VBA, R, SAS, Python, SQL, and/or MATLAB strongly preferred.
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Working knowledge of data analytics, report preparation, and data visualization using tools such as Excel, Python, SQL, Power BI, and PowerPoint. Hilltop Holdings is looking for an Associate Risk Analyst to provide support to the Enterprise Risk Management platform at Hilltop Holdings and its subsidiaries, through data analytics, including but not limited to identifying key risks and trends.
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Experience with enterprise database analysis, and proficiency of one or more data analysis tools such as AquaData, Oracle SQL Developer, Quest, or similar. Provide timely and effective systems support of all Risk Management applications, coding, data processes, programs, system batch processing, system components, User Interfaces etc to the global Risk Management organization, as well as across the Firm.
$150,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Development of a solution to reduce the time to execute a reporting or to search for data in an ad hoc request- Usage of Python, SQL, VBA or DAX. Joining MMG will provide an opportunity to acquire and develop strong technical knowledge of products traded by the fixed income,equity derivatives and prime brokerage teams as well as allowing you to develop your expertise on PnL analysis, income attribution and risk metrics including PFE and Stress Test.
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Advanced experience using SQL, Python/R and BI reporting or other querying languages to create and analyze data sets in a business setting. Collaborate with data science, capital markets and risk functions.
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Have hands-on experience on Relational (SQL Server, Oracle) databases and should be able to understand the Physical data model and independently form SQLs to fetch required data from databases and for further Data analysis.
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CLS products are designed to enable clients to manage risk most effectively across the full FX lifecycle - whether through more efficient processing tools or market intelligence derived from the largest single source of FX executed data available to the market.
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The ideal candidate will have expertise in analyzing large datasets and developing models using Python, SQL (Daily) and other statistical analysis packages to get to the truth behind the data.
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The Staff Risk Analyst will contribute to the performance analysis of SoFi products using empirical measurements, use quantitative and machine learning models to forecast losses and provide insights on the drivers for losses will also collaborate with the Business Unit, Finance, Accounting, Credit & Fraud Risk groups.
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Should have worked on Big data technologies like BigQuery, Hadoop, Hive. As database architect should have worked on at least on one SQL technology such as Oracle, MS SQL. Should have experience working on a No SQL platform like Apache Cassandra or Mongo DB.
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data sql jobs Title: risk analyst
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