Data Engineer

Job Description - Data Development & Operations: Research on data requirements, validate the accuracy, completeness, reasonableness, timeliness on the dataset, produce executive level and detailed level data summary and develop desktop procedures for BAU operations. Perform data review and test technology implementation. Produce data summary materials and walk through with data stakeholders by establishing quarterly routines. Should be able to apply CI/CD tools (e.g., Git, JIRA, Confluence, Jenkins etc...) part of model development related data process. - Data Analytics & Strategy: Analyze the data and provide how granular data movements across history affects the new data results. Find trends of data improvements or areas for improvement. Develops automated data analysis results and answer the common questions to justify the changes in data. Support data analytics and engagement to enhance strategy for the data process across SERA. - Model Development Support: Partner with Model Developers and Forecast Admin team in developing and executing commercial model input process with a focus on analysis and reporting capabilities, data procurement, liaising/leading with consultants or extended teammates across the globe, external data providers. - Documentation: Deliver concise, quantitative documentation to inform stakeholders, meet policy requirements, and enable successful engagement in regulatory exams (e.g., CCAR, CECL) via automated, modularized, and standardized documentation and presentations. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements - 7+ years in data engineering or data analytics - Financial Services background - Risk background preferably - 4+ years SQL - SQL test will be given in interview - 2+ years Python - Any Tableau experience - Experience working with financial services predictive models (CCAR) - Alteryx - Masters in a quantitative field: STEM