About this role:

In this role, you will help build and evolve strategic trading analytics data platforms, including the Low Touch Data Hub and the next‑generation Equities Data & Analytics platform supporting all Equities Front Office trading groups. You will contribute to the design and delivery of scalable application frameworks and data services within Commercial and Corporate & Investment Banking Technology, enabling advanced analytics, AI‑driven insights, and automation across the Equities trading lifecycle.

This role defines and governs enterprise‑standard AI‑assisted engineering patterns, including prompt‑driven development, automated testing, diagnostics, documentation, and developer‑productivity tooling. You will architect and guide controlled LLM integrations—such as MCP‑based services—across development workflows, observability, and automation, while establishing guardrails to ensure secure, explainable, auditable, and compliant AI usage within electronic trading technology. In partnership with platform, security, risk, and compliance teams, you will ensure AI‑enabled engineering practices meet Wells Fargo governance standards and continuously evaluate advances in GenAI, agentic AI, and applied ML to safely evolve engineering capabilities at enterprise scale.

This role supports a fast‑paced Front Office equity trading environment, delivering senior‑level software and analytics solutions for trading, automation, and decisioning. You will build AI‑enabled analytics platforms and low‑latency systems, apply AI‑centric engineering practices, and write high‑quality Java and Python code while partnering closely with traders, Strats, and quants. The role includes technical leadership, rigorous testing and reviews, production reliability ownership, and Level‑2 support for performance, data, and model‑driven issues.

Learn more about career areas and lines of business at wellsfargojobs.com.

In this role, you will

• Lead complex initiatives on selected domains

• Ensure systems are monitored to increase operational efficiency and managed to mitigate risk

• Define opportunities to maximize resource utilization and improve processes while reducing cost

• Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies

• Resolve coding, testing and escalated platform issues of a technically challenging nature

• Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives

• Mentor less experienced software engineers

• Collaborate and influence all levels of professionals including managers

• Lead team to achieve objectives

• Partner with production support and platform engineering teams effectively

Required qualifications

• 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 5+ years of Software Engineering experience, with a strong focus on data‑intensive systems

• 5+ years of experience building analytics platforms, data services, or data‑driven applications

• 5+ years of experience with algorithms and data structures, particularly as applied to analytics and data processing

• 4+ years of experience designing and implementing distributed data systems

• 4+ years of experience with time‑series, relational, or analytical databases

• 4+ years of experience in Java for building high‑performance backend and data services

• 4+ years of experience in Python for analytics, data processing, and automation

Desired qualifications:

• Advanced experience in capital markets business processes

• Working knowledge of SEC, FINRA, and international regulatory considerations when building technology solutions

• Cash Equities and Global Markets trading workflow knowledge; FIX protocol experience

• Deep understanding of concurrency, memory management, and performance tuning in data‑heavy systems

• Experience with application lifecycle management from design through production support, including AI‑enabled or analytics‑driven systems

• Strong understanding of distributed and client‑server technology architectures

• Prior team lead and/or direct or matrix management experience

• Outstanding written and verbal communication skills appropriate for a Front Office environment

• BS/BA degree or higher

Job Expectations:

• This position is not eligible for Visa sponsorship

• Relocation assistance is not available for this position

• Position offers a hybrid work schedule

Posting Locations:

• 150 E 42nd St. New York, NY  10017

• ​300 S Brevard St., Charlotte, NC 28202

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.

Posting End Date:

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