Quantitative Analytics Platform Manager

Role Overview

• 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.

Requirements

• 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.

Tech Stack

• Java
• Python

Benefits

• 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