Lead Software Engineer – Quantitative Investment Strategy (QIS) & Agentic AI

About this role

About the

Wells Fargo is seeking a Lead Software Engineer – Quantitative Investment Strategy (QIS) & Agentic AI to join the Equity Derivatives Technology organization within Commercial and Corporate & Investment Banking. This role is central to the front-office risk and pricing platform, driving QIS index development, back testing, and risk analytics across equity derivatives.

You will lead the design and development of scalable, low-latency platforms supporting index construction, historical back testing, and real-time risk analytics for structured derivatives and trading desks. This is a hands-on senior role requiring strong expertise in distributed systems, Java, and Python-based quantitative workflows.

The role also integrates Agentic AI and GenAI capabilities to enhance automation, anomaly detection, and decision support. This is an opportunity to shape next-generation AI-enabled risk and trading platforms at scale.

In this role, you will:

• Lead QIS platform engineering initiatives, partnering with front-office, quantitative research, and trading teams to deliver scalable solutions for index strategy development, back testing, and performance analytics.
• Design and build QIS index lifecycle platforms, including index construction, rebalancing, corporate actions handling, and historical simulation/back testing frameworks across large-scale market datasets.
• Develop Python-based quantitative workflows and analytics, enabling rapid prototyping, strategy validation, and automation of research-to-production pipelines.
• Architect low-latency, distributed systems supporting real-time and intraday risk analytics, index recalculations, and portfolio-level risk aggregation under strict performance and resiliency requirements.
• Integrate Agentic AI and GenAI capabilities into QIS and risk platforms for automation, anomaly detection, monitoring, and decision support, improving efficiency and insight generation.
• Drive engineering excellence and platform ...