Lead AI Java Engineer -Risk & Margin
Role details
Job location
Tech stack
Job description
The Risk and Margin suite is built on common foundational frameworks and is used to deliver sophisticated and complex front office solutions. This person will be actively engaged in architecture, design, development, unit testing, and stress testing of a high-performance framework for applications and be a key participant in a highly talented delivery team for front-office systems and tools development. Additionally, they will be expected to provide hands on technical support, advice, and consultation with open issues relating to supported applications plus ensure quality, performance, security, trading risk controls, and compliance for those application platforms.
The ideal candidate will be an expert in solving software, and infrastructure problems in relation to complex processes. They will have experience with designing and developing automated testing harnesses, recommending, and implementing solutions, participating in and conducting code review sessions, and providing process improvements. Past experience in building Risk and Margin methodologies is needed. We are keenly interested in high energy people with a passion to build common core high performance technology to be used across asset classes in Equities and Fixed Income.
Learn more about the career areas and business divisions 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
AI-Enabled Engineering and Platform Responsibilities
- Define and govern standard patterns for AI-assisted and LLM-based software development , including prompt-driven development, automated test generation, diagnostics, documentation, and developer productivity tooling
- Architect and guide enterprise-standard LLM integrations , including MCP-based services, used across development tooling, system observability, and controlled automation
- Establish and enforce guardrails for reliable, explainable, auditable, and secure AI usage within electronic trading technology
- Partner with platform, security, risk, and compliance teams to ensure AI-enabled engineering workflows meet Wells Fargo standards for data protection, regulatory compliance, and model risk management
- Continuously evaluate advances in GenAI, agentic AI, and applied machine learning to refine engineering practices and platform capabilities where appropriate
(AI-enabled development is considered a baseline capability across the engineering organization; this role ensures architectural consistency, operational safety, and enterprise scale.)
Requirements
- 5+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 5+ years of experience in building prime brokerage or capital markets applications
- 5+ years of high-performance programming techniques in Java
- 5+ years of experience in Java, Spring Boot, JPA, Microservices, SQL and NoSQL
- 2+ years of experience in Kubernetes/OpenShift & cloud technologies
- 5+ years of experience in Apache Kafka/Solace/MQ
- 5+ years of Experience with SDLC and Agile tools such as JIRA, GitHub, Jenkins, Confluence etc.
- 2+years of experience on GenAI enabled solutions, Retrieval-Augmented Generation (RAG) and agentic workflows, with a strong understanding of prompt engineering, grounding, and extensibility
- 2+years hands-on experience with major GenAI platforms (e.g., Microsoft VS Code, GitHub Copilot), * 2+ years of experience in building risk & margin with Portfolio margin, Rules based margin calculations and stress testing
- SME on equities, options and fixed income securities.
- Knowledge of core computer science design concepts, algorithms, and data structures
- Familiarity with Model Context Protocol (MCP), enterprise-grade agentic workflows is highly desirable
- Experience with risk, margin and regulatory calculators and reporting capabilities
- Knowledge building high capacity, high volume, low latency technology for margin workflow supporting various business units in Commercial Investment Banking
- Deep knowledge of LLM and API integration, including RESTful API design.
Benefits & conditions
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - 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.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
30 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.
