U.S. Bancorp

2 weeks ago

Quantitative Analytics Platform Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Own governance and controlled production use of a proprietary quantitative analytics platform across Excel, Python, Java, databases, and APIs. Partner with quantitative, technology, risk, and business teams to deliver stable, reusable analytics interfaces, manage releases and regression testing, and monitor performance in production. Lead productionalization of high-value Excel tools and help define database interaction patterns and operational controls, reducing reliance on ad-hoc spreadsheets and one-off integrations.

Location: Charlotte, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Manager level

Key Responsibilities

•Own the operating model for approved analytics platform access across Excel, Python, Java, databases, APIs, and application layers.
•Define and maintain standards for access patterns, version control, entitlements, testing, documentation, support procedures, and production evidence.
•Support release management and regression testing for analytics platform changes, including API/calculation/interface updates and rollback planning.
•Lead productionalization of high-value or high-risk Excel-based analytical tools with standardized inputs/outputs, data sourcing, sequencing, documentation, and controls.
•Drive production support with performance monitoring and remediation across Excel, Python, Java, database, batch, and application workflows.

Pay and Benefits

Salary: USD 143,905 - 169,300 annually

Perks:Health Insurance401k

Key Requirements

•Bachelor’s degree in a quantitative or technical discipline (Computer Science, Mathematics, Engineering, Physics, Quantitative Finance, or related).
•7+ years of experience supporting front-office technology, quantitative platforms, analytics infrastructure, risk systems, market data platforms, trading systems, or related financial technology.
•Experience supporting analytical/pricing/risk/valuation/market data/reporting/trading systems in a regulated financial services environment.
•Strong understanding of the 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:7+ yearsRegulated financial servicesFront-office technologyQuantitative platformsMarket data platformsTrading systems

Education:Bachelor's

Skills:CommunicationCoordination

Tech Stack:ExcelPythonJavaC++SQLAPIsDatabases

Company Brief

U.S. Bancorp

U.S. Bancorp is the parent company of U.S. Bank, providing consumer, business, and institutional banking services including lending, payments, treasury management, wealth management, and merchant solutions across the United States.

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Minneapolis, United States

Founded: 1863

Glassdoor: 3.8

Website LinkedIn Glassdoor

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U.S. Bancorp

2 weeks ago

Quantitative Analytics Platform Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Charlotte, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Manager level

Key Responsibilities

•Own the operating model for approved analytics platform access across Excel, Python, Java, databases, APIs, and application layers.
•Define and maintain standards for access patterns, version control, entitlements, testing, documentation, support procedures, and production evidence.
•Support release management and regression testing for analytics platform changes, including API/calculation/interface updates and rollback planning.
•Lead productionalization of high-value or high-risk Excel-based analytical tools with standardized inputs/outputs, data sourcing, sequencing, documentation, and controls.
•Drive production support with performance monitoring and remediation across Excel, Python, Java, database, batch, and application workflows.

Pay and Benefits

Salary: USD 143,905 - 169,300 annually

Perks:Health Insurance401k

Key Requirements

•Bachelor’s degree in a quantitative or technical discipline (Computer Science, Mathematics, Engineering, Physics, Quantitative Finance, or related).
•7+ years of experience supporting front-office technology, quantitative platforms, analytics infrastructure, risk systems, market data platforms, trading systems, or related financial technology.
•Experience supporting analytical/pricing/risk/valuation/market data/reporting/trading systems in a regulated financial services environment.
•Strong understanding of the 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:7+ yearsRegulated financial servicesFront-office technologyQuantitative platformsMarket data platformsTrading systems

Education:Bachelor's

Skills:CommunicationCoordination

Tech Stack:ExcelPythonJavaC++SQLAPIsDatabases

Company Brief

U.S. Bancorp

Industry: Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Minneapolis, United States

Founded: 1863

Glassdoor: 3.8

Website LinkedIn Glassdoor