Job Description
Charles Schwab is a financial services company that empowers its employees to make a significant impact on their careers. The Systems Data Analyst role involves supporting data-driven decision-making by analyzing and interpreting data related to Fraud, Anti-Money Laundering, and Financial Crimes Risk Management, leveraging SQL and AI-enabled analytics for improved outcomes. Responsibilities Extract, query, and analyze data from multiple fraud, AML and enterprise systems using SQL and related tools Clean, validate, and transform raw data to ensure accuracy and consistency Perform exploratory analysis to identify trends, patterns, gaps, and risks Apply AI-enabled analytics tools or techniques (e.g., automation, pattern detection, anomaly identification) to improve analytical outcomes Translate analytical findings into clear, actionable insights for non-technical audiences Partner with business and technology teams to understand requirements and data needs Support audits, risk assessments, and regulatory or management reporting as needed Document data definitions, logic, assumptions, and AI usage to ensure transparency and repeatability Skills Bachelor's degree in Analytics, Data Science, Computer Science, Finance, or a related field Strong proficiency in SQL and querying relational databases Experience working with large datasets and multiple data sources Experience using AI-enabled analytics tools (e.g., Python libraries, embedded AI in BI platforms, or automation frameworks) Python or R for data analysis, automation, or AI-assisted workflows Solid analytical and problem-solving skills Ability to clearly communicate insights and findings to stakeholders High attention to detail and data quality Working knowledge of AI or advanced analytics concepts, such as: Using AI-assisted tools for data analysis or automation Basic understanding of machine learning concepts (e.g., classification, anomaly detection, trend analysis) Leveraging AI features within analytics platforms or programming tools Company Overview We have plans for every turn you take. It was founded in 1973, and is headquartered in San Francisco, California, USA, with a workforce of 10001+ employees. Its website is