Automation & Data Analytics Senior Associate

What you'll do

• Build Python tools and reusable frameworks for sampling, validation, coverage tracking, and testing workflows.
• Apply statistical methods and data quality controls to produce accurate, documented, and defensible QA conclusions.
• Partner with risk, operations, compliance, and control teams to improve testing processes and communicate methodology and findings.

What they ask for

• 3+ years of relevant experience in analytics, quality assurance analytics, risk, controls, financial crime, or operations analytics.
• Bachelor’s degree in a quantitative field such as Computer Science, Economics, Statistics, Mathematics, or Data Analytics.
• Strong Python skills, proficiency with SQL, and practical experience with statistical sampling, error measurement, and data validation.
• Experience integrating data via APIs or structured feeds; working knowledge of machine learning; basic UNIX/Linux command line skills.

Nice to have

• Master’s degree in a related quantitative field; experience supporting KYC/AML, financial crime, risk, controls, audit, or regulatory review.
• Experience with Apache Spark or Databricks, or exposure to generative AI use cases.

Tools

Python, SQL, UNIX/Linux, APIs, Apache Spark, Databricks

AI focus

Working knowledge of machine learning, including potential use of anomaly detection or classification; preferred exposure to generative AI for automation, documentation, workflow efficiency, or quality review support.