About this role
Your Opportunity
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together.
As the Director, Securities Lending Quantitative Strategy, Team Lead, you will lead a desk-facing quantitative strategy team within Treasury Modeling focused on securities lending, inventory optimization, financing economics, and balance-sheet efficiency. You will set the quantitative strategy and roadmap for the business, partner closely with trading and product leaders, and deliver analytics, optimization frameworks, and decision tools that improve pricing, inventory deployment, risk management, and financial performance.
This role requires deep securities-lending expertise, strong quantitative judgment, and the leadership maturity to guide experienced quantitative talent and influence stakeholders across desk leadership, Treasury, Finance, Model Risk Management, product, technology, and operations. You will be accountable for commercially relevant, production-ready, explainable, and well-governed solutions that improve revenue, financing efficiency, risk-adjusted returns, inventory utilization, client outcomes, and balance-sheet usage.
What you have
Required Qualifications
- Bachelor’s degree in a quantitative field, finance, economics, engineering, physics, mathematics, statistics, computer science, or equivalent experience.
- 12+ years of relevant financial-services experience, including substantial experience in securities lending, equity financing, collateralized lending, or a closely related desk-facing quantitative strategy function.
- Deep knowledge of securities-lending markets, including borrow demand, inventory, locates, utilization, specials, rebate rates and fees, collateral, financing spreads, client behavior, market structure, and desk economics.
- Demonstrated success leading desk-facing quantitative teams and delivering production analytics, optimization solutions, or decision frameworks that produced measurable commercial, risk, operational, or balance-sheet value.
- Strong quantitative judgment and experience guiding analytics and models that connect market structure, client activity, inventory, collateral, pricing, risk, balances, revenue, and P&L outcomes.
- Proven people leadership, including setting strategic direction, prioritizing a portfolio of work, coaching senior quantitative talent, managing performance, and building an effective execution culture.
- Executive-level communication and stakeholder-management skills, with the ability to explain complex quantitative topics in clear commercial terms and influence decisions across business, control, and technical teams.
- Experience operating in a governed quantitative environment, including model documentation, validation support, performance monitoring, controls, risk assessment, and controlled change management.
Preferred Qualifications
- Graduate degree, such as an M.S. or Ph.D., in a quantitative discipline.
- Direct leadership experience on, or closely supporting, a securities-lending, stock-loan, or equity-finance desk.
- Experience developing securities-lending pricing, locate, inventory-allocation, collateral-deployment, financing, or accrual P&L analytics and models.
- Knowledge of margin lending, equity-linked products, derivatives, hedging activity, and synthetic equity-financing transactions.
- Experience evaluating financing transactions, including collateral transformation, term structures, funding economics, and balance-sheet implications.
- Familiarity with broker-dealer Treasury, funding, liquidity, capital, balance-sheet management, and transfer-pricing concepts.
- Experience operationalizing quantitative models and analytics through controlled production processes, transparent outputs, trader-facing workflows, exception management, and ongoing monitoring.
- Track record of applying optimization, statistical modeling, AI/ML, or automation to practical business problems in an explainable, governable, and production-oriented manner.
What you'll do:
- Set the quantitative strategy, priorities, and multi-year roadmap for securities lending quant team, aligned with desk objectives, enterprise priorities, control standards, and production needs.
- Lead, develop, and retain a high-performing team of quantitative strategists by establishing clear accountabilities, allocating resources, coaching talent, and promoting rigorous, commercially oriented execution.
- Partner directly with traders, desk leadership, Treasury, Finance, Model Risk Management, product, technology, and operations to translate complex business questions into actionable analytics, optimization frameworks, decision tools, and implementation plans.
- Own the development of quantitative solutions supporting inventory availability, borrow demand, locates, pricing, utilization, segregation, collateral deployment, concentration risk, and desk-level P&L attribution and explainability.
- Ensure quantitative solutions reflect market structure, client behavior, financing economics, operational constraints, and associated market, liquidity, counterparty, collateral, operational, and model risks.
- Drive adoption by embedding analytics and model outputs into trader workflows, transparent production routines, real-time or recurring decision processes, exception management, and management reporting.
- Establish standards for quantitative design, production code, documentation, validation support, performance monitoring, limitations, controls, change management, and ongoing maintenance.
- Evaluate and prioritize opportunities to apply optimization, statistical modeling, AI/ML, and automation where they can create measurable trading, financing, risk, operational, or balance-sheet value while remaining explainable and governable.
- Communicate quantitative results, commercial implications, trade-offs, and limitations clearly to senior leaders, desk stakeholders, control partners, and technical audiences.
- Measure and report the team’s impact across revenue, financing cost, pricing effectiveness, locate conversion, inventory utilization, operational efficiency, risk management, and balance-sheet usage.
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.