
Leading company in the financial services industry
Lead Java Software Engineer – Equity Derivatives Risk, Quant & AI‑Enabled Platforms at Wells Fargo
About the role
About this role:
Wells Fargo is seeking a Lead Java Software Engineer to join the Equity Derivatives Technology organization within Commercial and Corporate & Investment Banking Technology. This role sits at the heart of the front‑office risk and pricing platform, supporting mission‑critical trading and risk workflows across the equity derivatives business.
You will play a key role in modernizing and scaling Wells Fargo’s strategic Risk & Pricing platform, enabling real‑time and intraday risk analytics for a broad set of derivative desks, including Index and Single‑Stock Flow, Delta‑1, Equity Finance & Futures, Convertibles, Corporates, and Structured OTC / Notes. This is a hands‑on senior engineering role designed for a highly quantitative risk developer with experience building large‑scale, distributed systems capable of processing substantial data volumes under strict latency, throughput, and resiliency requirements. You will design and build cloud‑compliant, low‑latency, high‑throughput platforms, working closely with front‑office stakeholders, quantitative teams, and production partners.
As the platform continues to evolve, this role will incorporate applied AI and GenAI‑enabled capabilities to enhance risk analytics, intraday monitoring, automation, anomaly detection, and decision support. If you thrive on solving complex problems at scale and want to influence the next generation of risk and trading technology using modern engineering and AI‑assisted practices, this role offers both depth and impact.
In this role, you will:
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Lead and influence strategic technology initiatives across the Equity Derivatives Risk domain, partnering with front‑office, quantitative, and platform stakeholders to deliver high‑impact outcomes.
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Architect, design, and build scalable, low‑latency applications and microservices supporting real‑time pricing, risk, analytics, and simulations for complex derivative products.
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Own and evolve core risk and pricing frameworks, ensuring performance, resiliency, scalability, and extensibility across multiple trading desks and products.
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Design and deliver large‑scale, distributed systems capable of handling high‑volume, high‑velocity datasets under strict latency and availability requirements.
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Champion engineering excellence, establishing and driving best practices around system design, performance optimization, clean code, testing, observability, and operational resilience.
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Drive automation in testing, documentation, and deployment to improve reliability, scalability, and speed to market.
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Collaborate closely with production support and platform engineering teams to ensure smooth day‑to‑day operations, rapid incident resolution, and continuous improvement.
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Mentor and develop engineers, fostering a culture of technical excellence, ownership, quantitative rigor, and continuous learning, while ensuring compliance with enterprise risk management and regulatory requirements.
Required Qualifications:
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5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
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5+ years of hands‑on Core Java development, with deep expertise in memory management, garbage collection tuning, multithreading, concurrency models, native I/O, and JNI
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3+ years designing and building distributed systems, delivering low‑latency, high‑throughput, highly available, and fault‑tolerant architectures using event‑driven and microservices patterns
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2+ years of experience with in‑memory data grids (e.g., Oracle Coherence, Apache Ignite, Gem Fire)
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2+ years working with NoSQL databases such as MongoDB or Cassandra, including schema design and query optimization
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1+ years of solid experience in modern AI development tooling, including AI‑assisted coding tools (e.g., GitHub Copilot) and contemporary IDEs
Desired Qualifications:
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Bachelor’s degree or higher in Computer Science, Engineering, or a related field
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Strong experience in capital markets workflows, including trade capture, lifecycle management, pricing, and risk analytics, with hands‑on exposure to equity derivatives products (options, futures, swaps, exotics, synthetics, convertibles, prime brokerage)
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Deep understanding of derivative pricing, valuation, and risk methodologies, including Greeks, VaR, CCAR, FRTB, DV01, and PnL attribution
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Proven ability to design, build, or integrate scalable front‑office risk and analytics components with trading platforms
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Demonstrated experience developing or integrating GenAI solutions, including LLM‑based or agentic systems, applied to risk analytics, decision support, anomaly detection, or surveillance
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Strong software engineering fundamentals: algorithms, data structures, performance optimization, clean code, and scalable system design
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Effective communicator able to work directly with front‑office and business stakeholders in fast‑paced, high‑pressure environments
Job Expectations:
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This position offers a hybrid work schedule
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Relocation assistance is not available
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Visa sponsorship is not available
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
Benefits
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Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit [Benefits
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Wells Fargo Jobs](https://www.wellsfargojobs.com/en/life-at-wells-fargo/benefits) for an overview of the following benefit plans and programs offered to employees.
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Health benefits
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401(k) Plan
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Paid time off
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Disability benefits
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Life insurance, critical illness insurance, and accident insurance
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Parental leave
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Critical caregiving leave
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Discounts and savings
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Commuter benefits
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Tuition reimbursement
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Scholarships for dependent children
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Adoption reimbursement
Posting End Date:
16 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.
Required skills
Java
Distributed systems
Risk analytics
Low-latency engineering
System design
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About Wells Fargo

Wells Fargo
PublicWells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide.
10,001+
Employees
San Francisco
Headquarters
$163B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
3.8
Compensation
3.2
Culture
3.9
Career
3.1
Management
3.4
72%
Recommend to a friend
Pros
Good benefits and health coverage
Flexible schedules and work arrangements
Supportive team environment
Cons
Limited career advancement opportunities
High stress and overwhelming workload
Poor management and lack of direction
Salary Ranges
16 data points
Mid/L4
Senior/L5
Mid/L4 · Lead Analytics Consultant
1 reports
$151,878
total per year
Base
$116,064
Stock
-
Bonus
-
$151,878
$151,878
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer rate
25%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
Behavioral Interview
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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