Manages confidential-data access governance, including access requests, recertifications, removals, exceptions, stakeholder support, audit evidence, and data-quality checks. Uses SQL, Alteryx, Snowflake, and Excel for reconciliation and reporting. Partners with technology teams and data owners to resolve issues, maintain procedures, validate automated outputs, and improve controlled workflows while supporting audit readiness and risk management.
Help safeguard confidential data where accuracy and judgement directly strengthen controls and audit readiness. In this hands-on role, you will deliver timely, consistent access governance outcomes across critical applications. You will partner with stakeholders across business teams and technology to resolve exceptions and improve processes. If you enjoy structured problem-solving and operational excellence, this role offers clear, measurable impact.
As a Data Access Management Analyst in the Data Governance team you will be responsible for managing access to confidential data across JPMorgan Chase. This is primarily a hands-on operational role focused on access requests, recertifications, removals, and stakeholder support. You will manage a high-volume workload in a controlled environment while supporting reporting, data quality, and process optimization initiatives. You will take ownership of control-focused activities while identifying opportunities to simplify, automate, and improve recurring tasks. If you enjoy structured problem-solving, operational excellence, and delivering measurable improvements, this role offers the opportunity to make a meaningful impact.
Job responsibilities
- Execute daily access governance activities, including access requests, recertifications, removals, exception handling, stakeholder queries, and audit support in accordance with established procedures and controls.
- Support periodic access recertification activities and follow defined timelines and evidence requirements
- Review business justification, entitlement eligibility, and access scope; escalate exceptions and drive them to resolution
- Prioritize and deliver a high-volume operational workload based on deadlines, risk, and business impact
- Analyze and reconcile access-management data using SQL, Alteryx, Snowflake, and Excel to produce accurate reporting
- Perform data-quality checks across source systems; investigate discrepancies and support root-cause remediation
- Validate automated outputs and apply appropriate human review for access approvals and control activities
- Maintain user access request guides, procedures, workflow documentation, and technical runbooks
- Compile and quality-check evidence packs for audits, regulatory reviews, and internal stakeholder requests
- Partner with technology teams and data owners to support data sourcing, testing, system changes, and application inventory updates
- Improve operational processes through documentation, testing, monitoring, and workflow enhancements
Required qualifications, capabilities, and skills
- Degree in finance, data analytics, data science, information systems, technology, or equivalent practical experience
- Experience in banking or financial services operations, risk, or governance-focused work
- Working knowledge of identity and access management concepts (access controls, entitlement management, access certification, timely access removal)
- Understanding of operational and technology risk, including controlled processing, auditability, and evidence retention
- Ability to execute recurring operational activities accurately and on time in a structured control environment
- Practical experience working with data to support reporting, reconciliation, investigation, or process improvement activities
- Practical knowledge of SQL
- Experience using Alteryx, Snowflake, and/or comparable data and workflow tools analysis, reporting, or workflow automation tools
- Proficiency in Microsoft Office (especially Excel)
- Clear written and verbal communication skills with the ability to adapt detail to different audiences
- Ownership mindset with the ability to work independently, manage competing priorities, and drive issues to closure
Preferred qualifications, capabilities, and skills
- Experience supporting access request, recertification, entitlement governance, or access removal processes
- Experience writing and troubleshooting SQL queries for reporting, reconciliation, or exception analysis
- Exposure to low-code and automation tools (such as Microsoft Power Platform, UiPath, or APIs)
- Experience preparing audit evidence packs and responding to audit or regulatory information requests
- Demonstrated continuous-improvement mindset, including simplifying recurring operational work while maintaining control quality
- Familiarity with segregation of duties concepts and access-risk considerations
- Experience creating or maintaining operating procedures, workflow documentation, or technical runbooks
About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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.
JPMorganChase London, England Office
25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP
Similar Jobs
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Leads clinical data science strategy, delivery, and people development across pharmaceutical clinical development programs. Oversees quantitative analyses using clinical, biomarker, real-world, and high-dimensional data; guides statistical, machine learning, simulation, and visualization methods; and ensures analysis-ready, traceable, reproducible, submission-ready outputs. Partners with clinical, regulatory, data management, pharmacovigilance, programming, technology, and external teams. Supports health authority interactions, regulatory submissions, inspection readiness, resource planning, risk mitigation, standards, automation, and capability building.
Top Skills:
Analysis Data Model (Adam)Artificial IntelligenceClinical Data Interchange Standards Consortium (Cdisc)Data VisualizationDefine-XmlMachine LearningPredictive ModelingPythonRReusable WorkflowsSASSimulationSQLStudy Data Tabulation Model (Sdtm)Version Control
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Lead clinical data science and statistical analyses for pharmaceutical development programs. Develop analysis-ready datasets, reproducible workflows, visualizations, simulations, and quantitative insights using clinical trial, biomarker, real-world, and external data. Support integrated data review, data quality assessment, regulatory compliance, and evidence-based study decisions. Collaborate with cross-functional teams, review internal and external deliverables, advance automation and AI/ML adoption, and mentor less experienced colleagues.
Top Skills:
AdamAutomation WorkflowsCdiscDefine-XmlMachine LearningPythonRSASSdtmSQLVersion Control
Healthtech • Software • Analytics • Biotech • Pharmaceutical • Manufacturing
Manages clinical data science activities supporting pharmaceutical development studies. Performs exploratory analyses, visualization, quantitative assessments, data review, and interpretation across clinical, biomarker, real-world, and other data sources. Develops analysis-ready datasets, reproducible workflows, specifications, and submission-ready deliverables using statistical, machine learning, automation, and advanced analytics methods. Collaborates with cross-functional study teams, communicates data and analytical risks, and supports regulatory-compliant, traceable, high-quality decision-making.
Top Skills:
AdamArtificial IntelligenceAutomated Analytics WorkflowsCdiscData VisualizationDefine-XmlMachine LearningPythonRSASSdtmSQLVersion Control
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
