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3+ years of experience: Supporting energy trading and risk management analytics and modeling with programming in SQL, Python, Alteryx, or SAS with financial market including trading, hedging, risk management, and settlement.
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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. PenFed is hiring a (Hybrid) Quantitative Risk Analyst II at our San Antonio, Texas location.
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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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Experience with analytics software (Python, SAS, R, SPSS, MATLAB, or similar programming language) and relational databases (SQL) The Market Risk Analyst I role involves aggregating and evaluating complex risk exposures, providing risk mitigation tools, and reporting to senior leadership.
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Exposure to analytical tools and software (e.g. Python, SAS, SQL and Excel) Support vendor risk management related activities. This position will support risk analytics and risk governance initiatives under the Enterprise Risk Department.
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Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language.
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Strong skills in data query and processing using such tools as SQL, Python, R or SAS. Experience with SQL, Python, R, SAS. Credit risk modeling and stress testing experience a plus.
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Strong coding skills preferably with a working knowledge of SAS and SQL. Work Experience: 3+ Years as a Risk Analyst or in Risk Management in Banking or financial services.
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Strong technical and data skills – 1 year SQL experience required, experience with the following a plus: SAS, Python, R, Snowflake. The Senior Analyst will be reporting to the Director of the Auto Credit Risk Analytics Team and is responsible for executing quantitative analysis to identify, measure and communicate credit risk.
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Experience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc. Senior Consulting Research Analyst I would have.
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Strong experience in data research using SQL/SAS/R/Python for data analysis. Write SAS/SQL/VBA/Python code to extract data to perform data analysis and research for data integrity.
$102,340 - $132,440 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This includes but is not limited to the model implementation, the model execution in the production environment, the process documentation and the conduction of related ad hoc analytics within the Quantitative Risk Management (QRM) framework under the supervision of manger or other senior stuffs.
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Strong Programming skills e.g. R, Python, SAS, SQL or other language. Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite.
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Sr. Quantitative Risk Analyst. Initiates and actively supports efforts to develop, build consensus, apply and maintain the enterprise risk management function and program, especially related to market risk, earnings, capital, and credit risk.
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1+ years of experience in statistical modeling using SQL, SAS, R and Python that may be a combination of work experience and/or study project. Demonstrated experience and competence in programming using SQL, SAS, R, and Python.
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sas sql jobs Title: risk analyst
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