Automation & Data Analytics Senior Associate

Job description

Join a team improving the way quality assurance testing is designed, executed, and defended through analytics and automation. You will turn evolving requirements into structured solutions that are scalable, well-controlled, and easy to reuse. As an Analytics Solutions Associate Senior at JPMorganChase within the Know Your Customer (KYC) Quality Assurance organization, you will design, build, and maintain analytics-driven solutions that improve sampling methodology, testing execution, and review efficiency. You will partner with quality assurance leads, risk managers, operations teams, and control partners to translate business needs into structured analytical requirements and repeatable workflows. You will apply statistical sampling techniques and automation to support consistent, defensible conclusions. You will build controls and validation into analytics outputs to improve reliability and auditability. You will communicate methodology decisions and findings clearly to technical and non-technical stakeholders. This role focuses on statistical sampling, process automation, data integration, and methodology documentation. You will develop programmatic frameworks and reusable tooling that enable consistent testing coverage and transparent sampling logic. Success requires strong analytical judgment, comfort working through ambiguity, and disciplined documentation practices. You will contribute to continuous improvement by identifying control gaps, standardizing approaches, and reducing manual effort through automation. The role is well suited for an analyst ready to take greater ownership in a financial crime risk and controls environment. Job responsibilities Design, build, and maintain programmatic frameworks supporting quality assurance testing, sampling, and review processesDevelop Python automation tools to generate samples, validate inputs, track coverage, and document methodology Apply statistical techniques (including confidence intervals, error rates, stratification, and sample sizing) to support quality assurance conclusionsTranslate loosely defined testing needs into structured analytical requirements, technical logic, and repeatable workflowsIntegrate data from internal systems, APIs, and structured data feeds to enable sampling, testing, and workflow automationPartner with quality assurance leads, risk managers, and operations teams to identify control gaps and improve testing designLead targeted process improvements through automation, standardization, and stronger analytical controlsPerform data quality checks, exception analysis, and output validation to ensure results are accurate, complete, and defensibleProduce clear documentation of sampling logic, assumptions, methodology, limitations, and controls for audit and regulatory reviewSupport governance processes by coordinating with compliance, legal, and control partners and completing required documentation and formsCommunicate analytical findings, risks, and methodology decisions to both technical and non-technical stakeholders Required qualifications, capabilities, and skills 3+ years of relevant experience in analytics, quality assurance analytics, risk, controls, financial crime, or operations analyticsBachelor’s degree in Computer Science, Economics, Statistics, Mathematics, Data Analytics, or a related quantitative field Strong Python skills, including scripting, data manipulation, and reusable code developmentPractical experience applying statistical sampling methodologies, error measurement, and data validation techniquesProficiency with SQL for querying, joining, and analyzing large structured datasetsWorking knowledge of machine learning concepts and common frameworks, with ability to apply techniques such as anomaly detection or classification when appropriateExperience integrating data via APIs, structured data feeds, or system-generated datasetsBasic UNIX/Linux command line skillsDemonstrated ability to identify automation opportunities and drive adoption of consistent, scalable processesStrong attention to detail and comfort operating in controlled, highly regulated environmentsStrong written and verbal communication skills, including explaining analytical approaches and trade-offs to non-technical stakeholders Preferred qualifications, capabilities, and skills Master’s degree in Computer Science, Economics, Statistics, Mathematics, Data Analytics, or a related quantitative fieldExperience supporting KYC anti-money laundering, financial crime, risk, controls, audit, or regulatory review processesExperience with Apache Spark or other distributed data processing toolsFamiliarity with Databricks or similar cloud-based analytics platformsExposure to generative AI use cases for automation, documentation, workflow efficiency, or quality review supportExperience documenting analytical methodologies for audit, risk, compliance, or regulatory review This role is not eligible for visa sponsorship now or in the future. Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention.