Matrix USA · 4 months ago
Data Analyst with Banking Experience -Tuning and optimization
United States
Full-time
Remote
Senior LevelMatrix USA is a global, dynamic, fast-growing technical consultancy leading technology services company. They are seeking a Data Analyst with Banking Experience to perform quantitative analysis, develop classification models, and document findings for interdisciplinary teams.
Information Technology & Services
Responsibilities
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
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
Qualification
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. 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
Benefits
Competitive compensation and benefits
Company
Matrix USA
Matrix USA is a leading global specialist, providing business and technology solutions specifically for the complex needs of the global Financial Banking, Payments and Capital Markets Industry.
Founded in 2006
10001+ employees
H1B Sponsorship
Matrix USA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (1)
Funding
Current Stage
Late StageLeadership Team
Inbal Gilboa-Amir
CFO
Tally Katz MBA,CPA
CFO
Company data provided by crunchbase