Senior Associate Automation & Data Analytics

What you'll do

• Design and maintain programmatic frameworks to support quality assurance testing, sampling, and review processes.
• Develop Python automation tools to generate samples, validate inputs, and track coverage.
• Apply statistical techniques like confidence intervals and sample sizing to support defensible QA conclusions.
• Translate loosely defined business needs into structured analytical requirements and repeatable workflows.
• Integrate data from internal systems, APIs, and structured feeds to enable automated testing.
• Perform data quality checks and exception analysis to ensure results are accurate and audit-ready.
• Produce detailed documentation of sampling logic and methodology for regulatory and audit review.
• Identify and implement process improvements through automation and standardized analytical controls.

What we're looking for

• 3+ years of relevant experience in analytics, quality assurance analytics, risk, controls, financial crime, or operations analytics.
• Bachelor’s degree in Computer Science, Economics, Statistics, Mathematics, Data Analytics, or a related quantitative field.
• Strong Python skills for scripting, data manipulation, and developing reusable code.
• Proficiency with SQL for querying and analyzing large structured datasets.
• Practical experience applying statistical sampling methodologies, error measurement, and data validation techniques.
• Working knowledge of machine learning concepts and frameworks like anomaly detection or classification.
• Experience integrating data via APIs, structured data feeds, or system-generated datasets.
• Basic UNIX/Linux command line skills.