<p>Kforce has a client in Pasadena, CA that is seeking a Data Analytics Engineer.</p> <p>Summary: We are looking for a Data Analytics Engineer to join our Financial Crimes and Anti-Money Laundering (AML) team. This role is pivotal in enhancing the effectiveness of our Bank Secrecy Act (BSA) compliance models through advanced analytics, automation, and statistical optimization. The ideal candidate will bring deep technical expertise in SQL and Python, a strong understanding of financial crime risk, and a passion for building intelligent, data-driven solutions.</p> <p>Key Responsibilities:</p> <ul> <li>Partner with AML and Financial Crimes teams to identify analytical opportunities that improve detection and reduce false positives </li><li>Develop and maintain automated analytics workflows to support model tuning, alert optimization, and investigative efficiency </li><li>Conduct statistical analysis to evaluate and enhance BSA/AML model performance, including scenario calibration and threshold testing </li><li>Build tools and scripts in Python to support ad hoc investigations, data profiling, and model diagnostics </li><li>Write complex SQL queries to extract, transform, and analyze large volumes of transactional and customer data </li><li>Collaborate with compliance, risk, and data science teams to ensure alignment with regulatory expectations and internal governance </li><li>Document methodologies and results in a clear, audit-ready format* Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field </li><li>3+ years of experience in a data analytics or engineering role, preferably supporting AML, fraud, or financial crime teams </li><li>Advanced proficiency in SQL and Python for data analysis and automation </li><li>Strong foundation in statistical methods, including hypothesis testing, regression, and time series analysis </li><li>Experience working with AML data such as transaction monitoring alerts, customer risk scores, and case management systems </li><li>Ability to translate complex data into actionable insights for non-technical stakeholders </li></ul> <p>Preferred Qualifications:</p> <ul> <li>Familiarity with AML systems (e.g., Actimize, SAS AML, Oracle FCCM) </li><li>Understanding of BSA/AML regulatory requirements and model governance practices </li><li>Experience with scripting and automation tools (e.g., Jupyter, Airflow, Git) </li><li>Exposure to model validation or audit processes in a regulated environment </li></ul>