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 processes
- Develop 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 conclusions
- Translate loosely defined testing needs into structured analytical requirements, technical logic, and repeatable workflows
- Integrate data from internal systems, APIs, and structured data feeds to enable sampling, testing, and workflow automation
- Partner with quality assurance leads, risk managers, and operations teams to identify control gaps and improve testing design
- Lead targeted process improvements through automation, standardization, and stronger analytical controls
- Perform data quality checks, exception analysis, and output validation to ensure results are accurate, complete, and defensible
- Produce clear documentation of sampling logic, assumptions, methodology, limitations, and controls for audit and regulatory review
- Support governance processes by coordinating with compliance, legal, and control partners and completing required documentation and forms
- Communicate 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 analytics
- Bachelor’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 development
- Practical experience applying statistical sampling methodologies, error measurement, and data validation techniques
- Proficiency with SQL for querying, joining, and analyzing large structured datasets
- Working knowledge of machine learning concepts and common frameworks, with ability to apply techniques such as anomaly detection or classification when appropriate
- Experience integrating data via APIs, structured data feeds, or system-generated datasets
- Basic UNIX/Linux command line skills
- Demonstrated ability to identify automation opportunities and drive adoption of consistent, scalable processes
- Strong attention to detail and comfort operating in controlled, highly regulated environments
- Strong 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 field
- Experience supporting KYC anti-money laundering, financial crime, risk, controls, audit, or regulatory review processes
- Experience with Apache Spark or other distributed data processing tools
- Familiarity with Databricks or similar cloud-based analytics platforms
- Exposure to generative AI use cases for automation, documentation, workflow efficiency, or quality review support
- Experience 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.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- 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, including scripting, data manipulation, and reusable code development
- Practical experience applying statistical sampling methodologies, error measurement, and data validation techniques
- Proficiency with SQL for querying, joining, and analyzing large structured datasets
- Working knowledge of machine learning concepts and common frameworks, including anomaly detection or classification
- Experience integrating data through APIs, structured data feeds, or system-generated datasets
- Basic UNIX/Linux command line skills
- Ability to identify automation opportunities and drive adoption of consistent, scalable processes
- Strong attention to detail and ability to work in controlled, highly regulated environments
- Strong written and verbal communication skills, including explaining analytical approaches and trade-offs to non-technical stakeholders
- Master's degree in Computer Science, Economics, Statistics, Mathematics, Data Analytics, or a related quantitative field
- Experience supporting KYC, anti-money laundering, financial crime, risk, controls, audit, or regulatory review processes
- Experience with Apache Spark or other distributed data processing tools
- Familiarity with Databricks or similar cloud-based analytics platforms
- Exposure to generative AI use cases for automation, documentation, workflow efficiency, or quality review support
- Experience documenting analytical methodologies for audit, risk, compliance, or regulatory review
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
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