Risk Management - Commercial Real Estate Risk Analytics Associate

Drive meaningful impact at the intersection of data, risk, and technology. This is a rare opportunity to build analytics products that directly influence how senior leaders understand and manage risk across a complex, high-stakes portfolio. You'll work at the forefront of data-driven decision-making, partnering with teams across Risk, Product, and Technology to deliver solutions that matter.

As an Analytics Solutions Manager supporting the Commercial Real Estate Risk team at JPMorgan Chase, you will own the end-to-end delivery of reporting and analytics solutions that support risk management operations. You'll translate complex business needs into well-governed, scalable data products — defining key performance indicators, designing reporting-grade data models, and embedding data quality controls that senior leaders can trust. This role is for someone who combines strong analytical judgment with executive communication skills and a passion for building products that drive clarity and action.

Job responsibilities

• Lead end-to-end delivery of analytics solutions, including user needs discovery, key performance indicator definition, dashboard design, release management, and roadmap execution aligned to stakeholder priorities

• Partner on the design and implementation of reporting data models that enable performant, scalable visualization products, incorporating metric definitions, dimensional modeling, and clear lineage from source systems to dashboards

• Collaborate with Credit Risk stakeholders to define, document, and maintain a consistent set of portfolio and operating metrics — such as portfolio insights, operational pipeline, exposure monitoring, and watchlist dynamics — ensuring interpretability across audiences

• Build and maintain interactive dashboards and executive-ready visual narratives in Tableau and Qlik Sense, optimized for senior consumption, repeatable governance, and auditability

• Establish and execute data quality controls with end-to-end audit trails, including reconciliations, exception monitoring, and clear escalation paths for data integrity issues impacting risk reporting

• Deliver operational insights by identifying trends, outliers, and performance drivers, and translate findings into concise, management-ready materials and recommendations

• Drive alignment across partners in Risk Operations, Technology, and Data/Product to prioritize requirements, manage dependencies, and deliver against timelines without compromising control standards

• Prepare and present materials for senior management, including storyline development, clear articulation of assumptions and limitations, and tailored messaging by stakeholder audience to support decision-making

Required qualifications, capabilities, and skills

• Formal training or certification on analytics or data engineering concepts

• Minimum 5 years of applied experience in analytics, reporting, risk management, or a related discipline

• Demonstrated hands-on experience building and owning dashboard products for senior stakeholders, with accountability for requirements, usability, adoption, and change management

• Advanced SQL skills, including the ability to write efficient queries, validate results, and support reporting-grade metric construction

• Hands-on experience with Tableau and Qlik Sense, including proficiency in semantic consistency, visual design standards, performance optimization, and access controls

• Strong data modeling and analytical capabilities, including the ability to structure data for reporting, manage metric definitions, and develop decision-useful insights grounded in business context

• Controls mindset and execution rigor, including the ability to design and operate data quality checks, document assumptions, and maintain consistency suitable for management reporting

• Strong delivery discipline, with the ability to manage competing priorities, drive clear scope decisions, and deliver on agreed timelines through effective stakeholder coordination

• Strong verbal and written communication skills, including the ability to synthesize executive-level narratives and adapt messaging for diverse stakeholder audiences

Preferred qualifications, capabilities, and skills

• Experience with Sigma or ThoughtSpot, particularly in supporting self-service analytics and governed semantic layers

• Familiarity with modern data platforms such as Databricks and concepts such as Data Mesh, with demonstrated ability to apply these approaches to risk reporting use cases

• Prior experience in banking, credit risk, management consulting, or equivalent environments supporting regulated reporting and senior management decision-making

• Demonstrated interest in commercial real estate risk and portfolio monitoring, with a track record of building scalable, reusable analytics products that improve transparency and execution