Executive Director, eRates Algorithmic Trading Strategist

About This Role

Wells Fargo is seeking an eRates Algorithmic Trading Strategist to help drive the build-out of client-focused, data-driven trading strategies for electronic Rates trading. This is a high-growth opportunity to shape how algorithms, data, client behavior, and pricing analytics drive business outcomes in a rapidly evolving Macro trading franchise. The successful candidate will work closely with modeling quants, systematic and voice trading desks, and E-Trading technology teams to translate strategic ideas into scalable, production-ready solutions. The role centers on pricing research, data analytics, client optimization, price differentiation, client alpha generation, and embedding data as a commercial growth lever.

Key Responsibilities

• Implement a client-centric algorithmic data strategy for eRates, with a focus on execution optimization, price differentiation, and systematic liquidity provisioning.
• Partner with modeling strats/quants to design and implement client-centric pricing and execution strategies, leveraging market microstructure and behavioral analytics.
• Help drive the algo data strategy for eRates, focusing on client optimization, execution quality, and systematic liquidity provisioning.
• Work closely with curve modeling quants and non-eTrading stakeholders to align how data is utilized across pricing, risk, and client engagement workflows.
• Research and prototype client optimization methods, client alpha signals, and differentiated pricing frameworks.
• Collaborate closely with technology partners to translate client optimization ideas into scalable, low-latency solutions—ensuring data-driven strategies are effectively implemented and integrated into the trading infrastructure.
• Maintain and enhance libraries of research, analytics, signals, reports, trading dashboards, simulation tools, and performance diagnostics.
• Produce actionable insights and visualizations for trading, sales, and senior stakeholders.
• Champion the use of data as a strategic asset—integral to business growth, client engagement, and revenue generation.

Required Qualifications

• 7+ years of Securities Algorithmic Trading experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications

• Minimum 7 years of experience in quantitative analytics or algorithmic trading, with a strong focus on client execution and optimization.
• Proven ability to design and deploy client-focused execution strategies within low-latency trading environments.
• Proven track record in Rates electronic trading with a strong emphasis on leveraging market microstructure and client data to drive execution quality, price differentiation, and alpha generation.
• Master's degree or higher in Financial Engineering or a related quantitative discipline (e.g., Mathematics, Physics, Computer Science, Engineering).
• Deep understanding of trading signal generation, client-driven alpha discovery, and backtesting frameworks—including techniques for extracting insights from noisy, high-volume data to improve pricing and execution.
• Experience applying client optimization learning techniques, including behavioral modeling, adaptive pricing, and execution feedback loops.
• Familiarity with PnL attribution frameworks to assess strategy performance and client impact.
• Strong programming skills in Python (Pandas, NumPy, SciPy, Scikit-learn), KDB/Q (PyKx, embedpy), and Java/Groovy for low-latency infrastructure.
• Ability to collaborate across trading, quant, and technology teams to deliver scalable, production-grade solutions.
• Excellent communication skills with a track record of translating complex analytics into actionable business insights.

Pay

$215,000.00 - $355,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, including:

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement