Senior Software Engineering Manager - Fraud Technology

Job Description

In an environment where fraud threat actors are continuously evolving their tactics and attacks are becoming more complex, we need to lead and deploy advanced fraud solutions that operate effectively while shaping the advancement of fraud strategies and solutions to safe-guard our customers, the company and its employees.

About this role:

Wells Fargo is on the hunt for a Senior Gen A.I. Leader, who can build and lead a cross-functional team of engineers and data scientists to build and operationalize innovative GenAI products and capabilities that can detect and predict fraud impacting the bank, its customers, and its ecosystem, or introduce better efficiency in our fraud and claims routines and workflows or accelerate new capability development through software engineering.

You will lead a team of talented engineers while staying close to the technical work. This role requires a balance of people management and hands-on technical leadership, ensuring the team builds high-quality, scalable solutions while maintaining a strong engineering culture.

You’ll mentor engineers, contribute to technical decisions, provide architectural guidance, and ensure the successful delivery of critical work. We look for leaders who foster a culture of ownership, accountability, and continuous learning. You should have a strong technical foundation, experience solving complex engineering challenges, and a track record of building and scaling high-performing engineering teams.

This senior manager will be responsible for:

• Managing fraud models, pattern detection capabilities, improving the performance of existing fraud detection products and developing innovative fraud solutions using GenAI

• Lead the design, development, and management of innovative fraud and claims GenAI solutions across various fraud vectors impacting Wells Fargo or efficiency opportunities

• Work with the Fraud AI platform and product leaders/business partners to operationalize these capabilities and realize benefits and efficiency gains

In this role, you will:

• Manage a team of software engineers, engineering leads, and data scientists

• Focus on delivering GenAI commitments aligned to enterprise strategic priorities around fraud and claims mgmt.

• Build support for strategies with business and technology leaders

• Guide development of actionable roadmaps and plans for usage and deployment of GenAI capabilities

• Identify GenAI opportunities and strategies for continuous improvement of software engineering and data science practices

• Provide oversight to software craftsmanship, security, availability, resilience, and scalability of solutions developed by the teams or third-party providers

• Set management guidelines and partner with stakeholders to implement key fraud & claims GenAI initiatives

• Develop strategies for hiring engineering and GenAI / data science talent

• Lead implementation of projects and encourage engineering innovation

• Collaborate and influence all levels of professionals including more experienced managers

• Lead team to achieve objectives

• Interface with external agencies, regulatory bodies, or industry forums

• Manage allocation of people and financial resources for Technology Strategic Leadership

• Develop and guide a culture of talent development to meet business objectives and strategy

Required Qualifications, US:

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

• 3+ years of management or leadership experience

Desired Qualifications:

• Experience in building and operationalizing GenAI capabilities

• M.S. or PhD in Computer Science (especially AI/ML), Statistics, Engineering, or related fields

• Knowledge and expertise of fraud management tools and techniques

• Experience in communicating to executive management team regarding the condition of the portfolios and applicable fraud management strategies

• Research publications in prominent AI/ML venues such as conference or journals

• Strong expertise or background in foundational model capabilities from OpenAI, Anthropic, Meta, or Google incl. building agentic systems through usage of MCP is preferred

• Strong expertise in core AI topics such as deep learning (DL), reinforcement learning (RL), planning, information representation and retrieval, graphs, multiagent systems (MAS), and natural language processing (NLP)

• Practical experience with ML platforms such as Tensorflow/Keras, PyTorch, etc.

• Comfort with rapid prototyping and disciplined software development processes

• Practical software engineering experience in collaborative project settings

• Strong communication, interpersonal and negotiation skills to gain trust and achieve business objectives

• Ability to work in fast-paced ever-changing environment and the ability to juggle an array of tasks and individuals on tight timelines

• Innovative and capable of developing a highly analytical approach to solving problems

• Track record of recruiting, developing, and engaging highly talented teams

• Programming skills in Python, Julia, Java, C++, or similar programming languages used in production machine learning and data science.

Job Expectations:

• Be Humble: You're smart yet always interested in learning from others 

• Work Transparently: You always deal in an honest, direct, and transparent way 

• Take Ownership: You embrace responsibility and find joy in having the answers 

• Learn More: You regularly self-educate and improve your skill set. 

• Show Gratitude: You show appreciation and respect to those you work with 

• Managing GenAI fraud and claims models, pattern detection capabilities, improving the performance and efficiency of existing fraud detection or claims products and developing innovative solutions using GenAI

Compensation for this role is between $144,400 to $300,000 depending on skills and depth of experience

Travel may be required, 5-20%

This role is not eligible for VISA sponsorship

Pay Range
 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

Posting End Date:

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

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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.

Candidates applying to job openings posted in US: 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.

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.