Business Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Evaluate and provide support for Sanctions, Fraud, and AML models, which includes model tuning, optimization, and performance assessment.

• Utilize model tuning methodologies and tools to enhance model efficiency and minimize false positives.

• Examine banking products, processes, systems, and transaction data to uncover trends, patterns, and potential issues related to data or modeling.

• Record model tuning methodologies, outcomes, and optimization efforts.

• Generate reports and presentations for senior management and regulatory stakeholders.

• Conduct quantitative analyses to assess model performance and pinpoint areas for enhancement.

• Create and evaluate features and datasets to bolster statistical modeling and machine learning projects.

• Partner with data scientists, model risk teams, technology teams, compliance experts, and business stakeholders.

• Handle large datasets and establish automation to streamline data analysis and model-tuning procedures.

• Document and convey analytical insights and recommendations to multidisciplinary teams.

• Manage various priorities in a dynamic environment with evolving business needs.

⛳️ Requirements

• Background in Sanctions, Fraud, AML, or financial-crime modeling.

• Solid grasp of model tuning methodologies, optimization strategies, and associated tools.

• Extensive knowledge of banking products, processes, systems, and financial transactions.

• Advanced skills in Python and SQL, including experience with large datasets and the creation of automated analytical solutions.

• Proficient in Python programming for data analysis, feature engineering, statistical analysis, and modeling.

• Experience in developing and assessing classification models such as Logistic Regression, Multinomial Logistic Regression, XGBoost, LightGBM, and Random Forest.

• Capability to compare model performance using suitable statistical and model-evaluation methods.

• Strong understanding of statistics, data science, and quantitative analysis.

• Ability to identify, troubleshoot, and rectify data-quality and modeling challenges.

• Familiarity with version control systems like Git/GitHub.

• Master’s or Ph.D. in Statistics, Economics, Finance, Mathematics, Data Science, or a related quantitative field.

• Exceptional written and verbal communication skills, with the ability to articulate technical findings to both technical and non-technical audiences.

• Strong organizational abilities and the capacity to manage multiple projects and shifting priorities effectively.

🏝️ Benefits

• Competitive base salary.

• Comprehensive benefits package, including medical, dental, 401K, STD, HSA, PTO, and more.

• Meaningful career development opportunities.

• Challenging and engaging work environment.

• Diverse, inclusive culture that promotes collaboration, continuous learning, and growth.