Vice President, Systematic Algo Trading Strategies eRates - Quantitative Researcher

Corporate & Investment Bank (CIB) delivers a comprehensive suite of banking, capital markets and advisory solutions, including a full complement of sales, trading and research capabilities, to corporate, government and institutional clients. We focus on our clients' overall financial needs, with consideration and respect for their total relationship with Wells Fargo.

Markets provides solutions to clients with the means to manage their exposure through various derivatives, lending and cash products across Structured Products Group, Rates, Equities, Foreign Exchange, Municipal Products Group, Credit Sales & Trading.

Position Summary
Candidate will have extensive experience in researching, designing, developing, and managing profitable systematic market making algorithms across electronic trading products. The candidate will work closely with adjacent Strat teams, Trading Desks and E-Trading technology teams to lead the continual research and design of systematic liquidity-servicing strategies. This role will focus on providing quantitative research on pricing and risk strategies within a low-latency framework as well as performing extensive customer pricing optimization & analysis. Research will involve discovery of revenue generation signals and strategies leveraging data-driven techniques, analysis of new alpha signal generators, and performing strategy back-testing. Candidates will have the exciting opportunity to be directly involved in a focal growth area. Learn more about the career areas and lines of business at www.wellsfargojobs.com.

Key Responsibilities

• Partner with business stakeholders to design and implement foundational quantitative analytics and strategies for optimizing execution in electronic trading platforms.
• Research, develop, and optimize pricing and risk algorithms within a low-latency environment.
• Understand, maintain, and enhance pricing, risk, and signal code built within the algorithmic framework.
• Apply statistical inference and machine learning to identify and predict performance and cost drivers.
• Produce ad-hoc analysis and visualizations for business partners.
• Document back-testing results, references, and monitoring materials for peer review and ongoing performance evaluation.
• Conduct deep quantitative research into market microstructure and empirical performance to drive innovation in pricing and risk strategies.
• Translate research into production-grade algorithms that facilitates trading decisions.
• Ensure system robustness through rigorous back-testing, system controls, and real-time protections.
• Continuously refine logic to adapt to evolving market conditions and client-specific needs.
• Design and maintain frameworks to manage trading risk and ensure compliance with internal and regulatory standards.
• Monitor live algorithm behavior, detect anomalies, respond to incidents, and participate in change management and post-deployment validation.

In this role, you will:

• Lead complex initiatives to resolve algorithmic trading using high-frequency trading technology with broad impact
• Act as key participant in developing, implementing, and monitoring risk based programs to recommend decisions to buy or sell financial securities on an exchange for Securities Algorithmic Trading
• Review and analyze complex formulas, combined with mathematical models and human oversight that require in-depth evaluation of multiple factors including the use of process and rules based algorithms to employ strategies for executing trades
• Make decisions in complex and multi-faceted situations requiring understanding of the function, policies, procedures and compliance requirements that influence and lead broader work team to meet deliverables and drive new initiatives
• Collaborate and consult with peers, colleagues and mid-level to more experienced managers to resolve issues and achieve goals

Required Qualifications:

• 5+ 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:

• 5+ years' experience in electronic trading, market microstructure, and quantitative models.
• Bachelor’s degree in quantitative discipline; advanced degree (Master’s/PhD) preferred.
• Rates/FX experience a plus.
• Advanced proficiency in applied statistics, time-series analysis, data mining, and visualization, including modern machine learning and AI techniques.
• Advanced proficiency in statistical programming and scripting languages such as Python (Pandas/NumPy/SciPy/scikit-learn), Java and C++ a plus.
• Proficiency in tick databases such as KDB/DeepHaven.
• Knowledge of high-frequency trading systems, workflows, and communication paradigms (FIX, binary exchange venues).
• Experience partnering with technology to develop and architect low-latency infrastructure.
• Strong written and verbal communication; ability to synthesize information rapidly.
• Ownership mindset with the ability to manage multiple tasks in a fast-paced team environment.

Job Expectations:

• This position is subject to FINRA background screening requirements. Candidates must successfully complete and pass a background check prior to hire. In accordance with FINRA rules, individuals who are subject to statutory disqualification are not eligible to be associated with a FINRA-registered broker-dealer. Successful candidates must also meet and comply with ongoing regulatory obligations, which include periodic screening and mandatory reporting of certain incidents.
• Specific compliance policies may apply regarding outside activities or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process.
• Key words: Algo, Quant, Trader, Strategist, Time Series, Systematic Liquidity, eRates, Etrading, E-Trading, Strat

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$191,000.00 - $305,000.00

Posting End Date:

31 May 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.