Quantitative Analytics Platform Manager

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

The role is responsible for supporting the delivery, governance, integration, and controlled production use of a proprietary analytics platform across approved business and technology workflows. This includes interface management, release coordination, regression testing, performance monitoring, production support, EUCT productionalization, documentation, entitlements, and controlled consumption through Excel, Python, Java, databases, APIs, and enterprise applications.

The role works closely with quantitative development, technology, risk, and business users. Quantitative teams own the analytical methodology and core modeling logic; this role helps ensure those capabilities are made available through stable, supportable, reusable, and well-controlled production channels.

The purpose of the role is to help establish consistent operating standards around the use of proprietary analytical capabilities, reducing reliance on locally managed tools, spreadsheets, prototypes, and one-off integrations.

Specific Responsibilities

• Own the operating model for approved analytics platform access across Excel, Python, Java, databases, APIs, and related application layers.

• Define and maintain standards for access patterns, version control, entitlements, testing, documentation, support procedures, and production evidence.

• Partner with quantitative developers and technology teams to deliver stable, reusable, performant, and controlled analytics interfaces.

• Support release management and regression testing for analytics platform changes, including API updates, calculation changes, interface changes, downstream impacts, defect review, certification, and rollback planning.

• Lead productionalization of high-value or high-risk Excel-based analytical tools, including standardized inputs, outputs, data sourcing, calculation sequencing, ownership, documentation, and controls.

• Support performance monitoring and remediation across Excel, Python, Java, database, batch, and application-based workflows.

• Help define database interaction patterns for market data retrieval, reference data, static data, output persistence, audit trails, usage monitoring, and downstream consumption.

• Support controls around curve creation, curve storage, curve publishing, overrides, version references, restricted data, and controlled database-consumed outputs.

• Use AI-assisted tooling where appropriate to improve documentation, test-case generation, regression analysis, exception detection, support workflows, and platform knowledge management.

• Serve as a coordination point across quantitative model owners, technology partners, business users, risk stakeholders, and support teams.

Required Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Engineering, Physics, Quantitative Finance, or a related quantitative or technical discipline.

• 7+ years of experience in front-office technology, quantitative platforms, analytics infrastructure, risk systems, market data platforms, trading systems, or related financial technology environments.

• Experience supporting analytical, pricing, risk, valuation, market data, reporting, or trading-related systems in a regulated financial services environment.

• Strong understanding of software development lifecycle, release management, regression testing, change control, production support, and operational controls.

• Experience delivering analytical capabilities through Excel, Python, Java, databases, APIs, services, or enterprise applications.

• Experience working with production controls, entitlements, documentation, auditability, evidence retention, and operational risk processes.

• Working knowledge of modern software architecture, API design, database technologies, integration patterns, and performance monitoring.

• Strong communication skills with the ability to work across quantitative, technology, business, risk, and control teams.

Preferred Qualifications

• Experience supporting proprietary analytics platforms, pricing services, valuation frameworks,