Senior Securities Lending Quant & Desk Strategist

Charles Schwab; Lone Tree (CO); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

401(k) with company match

Paid time off and sabbatical program

Parental leave and family building

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a Senior Manager, Securities Lending Quant in Colorado to lead desk-facing analytics for securities lending, margin lending, and prime brokerage. You will translate trader needs into practical quant tools and collaborate with Treasury, Finance, and Risk Management to ensure model accuracy and governance.

The role emphasizes production-grade analytics, explainability, and close partnership with traders to improve desk outcomes and P&L.

Qualifications

• Bachelor’s degree in a quantitative field, finance, economics, engineering, physics, mathematics, statistics, computer science, or equivalent experience.
• 8+ years of experience in financial services as a securities lending quant, desk strategist, prime brokerage quant, quantitative strategist, or similar role supporting financing, risk, pricing, inventory, or P&L decisions.
• Deep understanding of prime brokerage, securities lending, collateralized lending, margin, financing spreads, balance sheet usage, client behavior, and secured product economics.
• Strong knowledge of equity-linked products, including how equity markets, derivatives, hedging activity, client flows, and financing dynamics affect balances, valuation, pricing, and P&L.
• Ability to translate trader needs and ambiguous business questions into practical quantitative tools, decision frameworks, and implementation plans that improve desk outcomes.
• Strong Python or similar programming experience, with the ability to work efficiently with large datasets and controlled production environments.
• Strong communication skills, including the ability to engage credibly with traders and explain quantitative insights to both technical and non-technical stakeholders.
• Experience operating in a governed model environment, including documentation, validation support, monitoring, and controlled change management.

Responsibilities

• Develop desk-facing quantitative analytics for securities lending, margin lending, and prime brokerage, focusing on inventory, release decisions, pricing, demand signals, utilization, risk, and P&L drivers.
• Partner with traders and desk stakeholders to understand pain points, pressure-test assumptions, and convert complex business questions into actionable quant solutions.
• Analyze how client activity, market conditions, collateral dynamics, financing spreads, utilization, and product mechanics flow through balances, revenues, valuation, and P&L outcomes.
• Enhance securities lending release-engine analytics by connecting inventory availability, borrow demand, margin balances, collateral, pricing, client activity, and desk-level P&L into clear decision frameworks.
• Design analytics that strengthen securities inventory management, including availability, utilization, demand signals, collateral dynamics, concentration risk, and balance sheet optimization.
• Partner closely with Treasury, Finance, Model Risk Management, product teams, and desk stakeholders to ensure models reflect real product behavior, market structure, and business economics.
• Produce clear technical documentation, white papers, model methodology notes, monitoring materials, and stakeholder-ready explanations of model results.
• Support model governance activities, including validation, limitation assessment, performance monitoring, change management, and ongoing model maintenance.
• Identify opportunities to improve analytical accuracy, automation, controls, and business adoption across securities lending and related products.
• Bring forward and pilot innovative quantitative, AI/ML, automation, or statistical approaches that can improve trading decisions, inventory deployment, pricing, risk measurement, or P&L explainability.
• Serve as a senior securities lending thought partner who shapes analytical direction through domain depth, desk intuition, credibility with stakeholders, and strong execution.

Skills

Python

Quant analytics

Trader communication

Desk experience

Model governance

Big data

Production systems

Communication

Education

Bachelor’s degree

Tools

Python

Job description

Charles Schwab is seeking a Senior Manager, Securities Lending Quant in Colorado to lead desk-facing analytics for securities lending, margin lending, and prime brokerage. You will translate trader needs into practical quant tools and collaborate with Treasury, Finance, and Risk Management to ensure model accuracy and governance.

The role emphasizes production-grade analytics, explainability, and close partnership with traders to improve desk outcomes and P&L.