ICB Risk Reporting & Data Associate
In this Risk Data & Reporting Associate role, you will support the International Consumer Banking Risk Data & Reporting function with a focus on fraud monitoring, fraud risk metrics, dashboards/MI, and analytics to strengthen fraud risk management and operational controls for Chase UK and Germany. The role has a strong emphasis on GenAI-enabled analytics and reporting, using approved tools and operating within established controls and data handling standards.
Job Responsibilities
- Collaborate with stakeholders across Fraud Risk, Operations, Product, Technology, and data owners to translate business needs into clear metric definitions, data requirements, and reporting deliverables.
- Define, produce, and own fraud KRIs/KPIs and monitoring metrics across key fraud typologies, including:
- Documenting metric definitions, logic, thresholds, and usage
- Maintaining consistent interpretation across stakeholders and reporting channels
- Build and maintain analytical data layers and transformation pipelines on AWS, including:
- Developing data models using dbt and querying with Trino/SQL
- Ensuring lineage, consistency, reproducibility, and performance
- Design, develop, and maintain executive-ready dashboards and recurring MI packs in Google Looker, including:
- Trend and driver commentary to support decision-making
- Clear visual narratives tailored to senior and operational audiences
- Perform proactive deep-dives to identify and explain emerging risk, trend shifts, and potential control degradation, and recommend control or process improvements.
- Perform reactive deep-dives in response to incidents, alerts, or stakeholder queries, including root-cause analysis and clear articulation of findings, impact, and remediation actions.
- Implement data quality controls, reconciliations, and monitoring to ensure reporting accuracy and stability, and maintain documentation for definitions, logic, and known limitations.
- Apply GenAI/LLM-assisted workflows (approved internal tools) to accelerate delivery, including:
- Requirements translation and refinement
- Insight generation and anomaly triage support
- Drafting narratives and executive summaries for MI packs
- Adhering to responsible AI expectations and applicable data/privacy/control requirements
- Partner with Technology and data owners to remediate data issues, deliver enhancements, and support governance and change management for fraud reporting solutions.
Required Qualifications, Capabilities, and Skills
- Bachelor’s degree in a relevant field and 4+ years of experience in risk reporting, risk analytics, data management, analytics, visualization, and agile environments, with an emphasis on fraud and/or operational risk reporting.
- Strong hands-on experience with analytical solution design, data pipelines, data modeling, and advanced SQL (window functions, joins, aggregations, performance tuning).
- Proficiency with Trino, GitHub, dbt, and implementing data quality rules to support accurate, stable reporting.
- Expertise in building scalable LookML models and advanced visualizations in Google Looker, with the ability to translate fraud risk reporting needs into actionable insights and executive-ready dashboards.
- Strong written and verbal communication skills, including the ability to articulate complex analytical outputs to senior stakeholders and convert ambiguous asks into clear metric definitions and deliverables.
- Practical experience using GenAI tools for analytics/reporting within approved environments, including prompting and workflow/agent-style patterns, with awareness of responsible AI principles, data privacy/handling, and governance controls.
Additional Skills, Experience, and Qualifications
The following items will be considered an added advantage for this role.
- Experience with Python for analysis and automation, and familiarity with descriptive statistics and experimental thinking.
- Familiarity with fraud domain concepts in retail banking and payments, including monitoring and control performance management.
- Understanding of model monitoring and alerting concepts.
- Highly self-motivated, able to prioritize and execute tasks.
- Proficiency in MS Office suite, JIRA, and Confluence.
Employer Description
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
Organization Description
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing, including through our international consumer banking businesses such as Chase UK and Germany. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.