U.S. Bank

Quantitative Analytics Platform Manager

U.S. Bank$143K — $169K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative or technical discipline such as Computer Science or Engineering.
  • 7+ years of experience in financial technology, specifically in front-office or quantitative platforms.
  • Experience in risk systems, analytics infrastructure, or related areas within regulated financial services.
  • Strong understanding of software development lifecycle and operational controls.
  • Proficiency in delivering analytics through languages and tools like Python, Excel, Java, and APIs.
  • Experience with production controls, documentation, and audit processes.
  • Familiarity with software architecture, database technologies, and performance monitoring.

Responsibilities

  • Own and manage access to the analytics platform across relevant application layers.
  • Define standards for version control, documentation, testing, and production evidence.
  • Collaborate with quantitative developers to ensure stable analytics interfaces.
  • Oversee release management, including regression testing and defect review for platform updates.
  • Lead the productionalization of critical Excel-based analytical tools with standardized procedures.
  • Monitor performance and remedy issues in various workflows including Python and Java.
  • Define database interaction patterns for market and reference data management.

Benefits

  • Comprehensive healthcare options including medical, dental, and vision.
  • Basic and optional life insurance coverage.
  • Short-term and long-term disability benefits.
  • Parental leave and pregnancy disability support.
  • 401(k) with employer contributions.
  • Generous paid vacation ranging from two to five weeks based on tenure.
  • Up to 11 paid holidays per year.
  • Adoption assistance and sick leave accruals.
Full Job Description
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, risk engines, market data environments, or quantitative applications.
  • Familiarity with quantitative model development workflows, model lifecycle processes, production release controls, and controlled model consumption.
  • Working familiarity with C++, Python, SQL, Java, Excel integration frameworks, APIs, databases, or front-office analytical tooling.
  • Experience productionalizing end-user computing tools, including Excel-based applications used for pricing, valuation, risk, reporting, or recurring business processes.
  • Experience implementing regression testing, automated testing, release certification, production monitoring, defect management, or rollback procedures.
  • Knowledge of fixed income, derivatives, market data, curve construction, risk measurement, valuation, portfolio analytics, or P&L attribution.
  • Experience designing or supporting controlled interfaces between analytical libraries, databases, business tools, applications, reporting environments, or workflow automation tools.
  • Experience using AI-assisted tooling to improve software delivery, testing, documentation, support workflows, exception detection, operational monitoring, or knowledge management.
  • Familiarity with governance, auditability, entitlement, explainability, and control considerations for AI-enabled tools in regulated environments.


Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
  • Healthcare (medical, dental, vision)
  • Basic term and optional term life insurance
  • Short-term and long-term disability
  • Pregnancy disability and parental leave
  • 401(k) and employer-funded retirement plan
  • Paid vacation (from two to five weeks depending on salary grade and tenure)
  • Up to 11 paid holiday opportunities
  • Adoption assistance
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law


Review our full benefits available by employment status here.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $143,905.00 - $169,300.00

Posting may be closed earlier due to high volume of applicants.

About U.S. Bank

U.S. Department of the Treasury is a government agency responsible for promoting economic prosperity and ensuring financial security. The department is responsible for a wide range of activities such as advising on economic and financial issues, encouraging sustainable economic growth, and fostering improved governance in financial institutions.

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Learn more about U.S. Bank
Size
68,796 employees
Market Cap
$66.2 billion
Industry
Net Income
$4.9 billion
5 Year Trend
+0.5%
NASDAQ

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