We are seeking a Data Analyst with Banking Experience to join our team. The ideal candidate will have experience in Sanctions or Fraud, or AML modeling and a strong understanding of tuning methodologies and tools. They should possess good knowledge of banking products, processes, and systems, as well as the ability to document model tuning, track, and report results of tuning and optimization activities to senior management and regulators. A Master's or Ph.D. in statistics, economics, finance, mathematics, or a related quantitative field is required. Proficiency in developing common classification models such as logistic regressions, multinomial logit models, and tree-based machine learning (e.g., Xgboost, LightGBM, Random Forest), along with the ability to compare model performance, is essential. Expertise in Python and SQL is required, with the capability to work with big data and automation. Strong analytical skills are necessary for performing quantitative analysis to identify and resolve common data and modeling issues. Familiarity with version control systems like GitHub is a plus. The candidate must be able to work under changing priorities and multi-task effectively. Excellent verbal and written communication skills are required.

• Experience in Sanctions or Fraud, or AML modeling • Strong understanding of tuning methodologies and tools • Good knowledge of banking products, processes, and systems • Ability to document model tuning, track, and report results of tuning and optimization activities to senior management and regulators • Master's or Ph.D. in statistics, economics, finance, mathematics, or a related quantitative field • Proficiency in developing common classification models, such as logistic regressions, multinomial logit models, and tree-based machine learning (e.g., Xgboost, LightGBM, Random Forest), and comparing model performance • Expertise in Python and SQL, with the ability to work with big data and automation • Strong analytical skills, with the ability to perform quantitative analysis to identify and resolve common data and modeling issues • Familiarity with version control systems (e.g., GitHub) • Ability to work under conditions with changing priorities and multi-task effectively • Excellent verbal and written communication skills