Lead Java Software Engineer – Equity Derivatives Risk, Quant & AI‑Enabled Platforms

Wells Fargo

Hybrid

Quick summary

Work type
Hybrid
Location
Iselin, NJ · New York, NY
Salary
$191,000–$305,000 / yr
Posted
9 days ago
Closes
Jun 28, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $248k
$138k most similar roles pay here $323k

This role pays more than 94% of similar roles. Most pay $170,750–$215,212 — the shaded band above. At the midpoint, this role pays about $248k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Wells Fargo

Wells Fargo & Company is one of the largest banks in the United States, providing banking, investment, mortgage, and consumer and commercial finance products and services nationwide. Industry: Banking & Financial Services

Wells Fargo currently has 91 open roles on FindRole.

Listed pay typically runs $151,000–$239,000 across 54 roles with salary data.

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View all roles at Wells Fargo

At a glance

TL;DR · Lead Java Software Engineer – Equity Derivatives Risk, Quant & AI‑Enabled Platforms

Wells Fargo is hiring a Lead Java Software Engineer to join its Equity Derivatives Technology team, focusing on modernizing and scaling the Risk & Pricing platform for real-time risk analytics in equity derivatives. This senior role involves designing and building cloud-compliant, low-latency applications using Core Java, distributed systems, and AI tools like GitHub Copilot, while ensuring performance and resiliency across multiple trading desks. The ideal candidate will have 5+ years of hands-on experience with Core Java, multithreading, and in-memory data grids, along with expertise in capital markets workflows and derivative pricing methodologies. They will work closely with front-office stakeholders to deliver high-impact outcomes, champion engineering excellence, and mentor engineers while fostering a culture of technical rigor and continuous learning.

What you'll do

  • Lead the modernization and scaling of Wells Fargo’s Risk & Pricing platform for real-time risk analytics.
  • Design and build cloud-compliant, low-latency applications supporting complex derivative products’ pricing and risk.
  • Own and evolve core risk and pricing frameworks to ensure performance and scalability across trading desks.
  • Deliver large-scale distributed systems handling high-volume datasets with strict latency requirements.
  • Champion engineering excellence by establishing best practices for system design and operational resilience.

What we're looking for

  • 5+ years of hands-on Core Java development with expertise in memory management, multithreading, and concurrency models.
  • 3+ years designing and building distributed systems for low-latency, high-throughput architectures using event-driven patterns.
  • 2+ years experience with in-memory data grids like Oracle Coherence or Apache Ignite.
  • 2+ years working with NoSQL databases such as MongoDB or Cassandra, including schema design and query optimization.
  • 1+ year of solid experience in modern AI development tooling and contemporary IDEs.

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