Data Analyst with Banking Experience -Tuning and optimization
Matrix Global
- ישראל
- משרה קבועה
- משרה מלאה
- Experience in Sanctions, 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. Capable of developing professional Python code for data analysis, feature engineering, and statistical modeling.
- Strong analytical skills, with the ability to perform quantitative analysis to identify and resolve common data and modeling issues. Knowledge of statistical and data science concepts, and the ability to develop models and analyze their performance.
- Familiarity with version control systems (e.g., GitHub).
- Ability to work under conditions with changing priorities and multi-task effectively.
- Ability to document and present findings for interdisciplinary teams.
- Excellent verbal and written communication skills.