Wells Fargo

Software Engineer

• Effectively communicate and partner with Business Stakeholders, other Quant Teams, Technology and Project Management
• Integrate pricing and risk analytics in collaboration with other Quants, providing expertise in software design, implementation and performance optimization
• Deliver high-quality software and documentation following our standardized planning and Agile-based SDLC process
• Proactively participate in complex software design & development activities within an Agile environment
• Contribute to large-scale project planning, balancing short and long-term objectives
• Use quantitative and advanced technologies to solve complex business problems
• Meet deliverables while adhering to policies, procedures, and compliance requirements
• Collaborate and consult with peers, colleagues, and project managers to resolve issues and achieve goals
• Effectively communicate with and build consensus with all project stakeholders
• Serve as a mentor for less experienced staff

Executive Director, Front Office Strategic Risk, Quantitative Developer

Chief Operating Officer

• Define and execute the strategic roadmap for using technology solutions to streamline and automate Wells Fargo Operation business domains using automation capabilities and GenAI, aligning with overall business objectives and technology strategy
• Lead the design, development, and deployment of Wells Fargo Process-Specific Document automation pipelines
• Drive the adoption and implementation of intelligent automation and agentic AI solutions, utilize the document automation pipelines, design, and execute automation opportunities that significantly reduce manual effort and increase operational efficiencies
• Exhibit proven subject matter expertise in software industry trends, including Document capture, Document extraction, OCR, Robotics Process Automation, foundational models/multi-modal, computer vision, autonomous systems, recommender systems, ML/deep learning, and cloud-based development
• Oversee the strategy and execution of control automation initiatives
• Evaluate, select, and integrate cutting-edge AI, machine learning, natural language processing (NLP), and automation technologies to build robust and scalable solutions
• Partner closely with business leaders, operations teams, enterprise architecture, data science, and other technology groups to identify high-impact use cases, gather requirements, and ensure successful solution delivery and adoption
• Build, mentor, and lead high-performing teams of engineers, data scientists, process architects, and automation specialists
• Establish and enforce best practices, governance frameworks, and architectural standards for process mapping, cognitive intelligence development, and automation deployment
• Define key performance indicators (KPIs) and metrics to track the effectiveness and business impact of cognitive intelligence and automation initiatives, reporting progress to senior leadership.

Technology Director – COO Document Processing Automation

Operations

• Support fraud and claims functional area by proactively identifying opportunities to improve customer experience
• Oversee multiple claim types, take appropriate action to decision the case using multiple systems and applications
• Provide feedback and present ideas for improving or implementing processes and tools within fraud and claims functional area
• Interact with fraud and claims functional area on a wide range of information as well as with external customers

Senior Fraud & Claims Operations Representative – Veteran Initiative

Data Analyst

• Lead, develop, and oversee a team of analytics professionals, providing direction, coaching, performance management, and workload prioritization
• Provide managerial oversight for the design, enhancement, and governance of proactive internal fraud monitoring strategies, ensuring alignment with enterprise risk objectives
• Establish and enforce consistent analytical standards, documentation, and governance practices across internal fraud analytics
• Review and guide the use of SAS- and SQL‑based analytics to ensure accurate analysis of large, complex enterprise data sets supporting fraud detection and monitoring
• Partner with executives and senior stakeholders to prioritize and deliver high‑risk, enterprise‑level initiatives with material operational and regulatory impact
• Translate complex business, risk, and control requirements into scalable analytical solutions, ensuring effective risk mitigation outcomes
• Serve as a trusted advisor and escalation point for senior leadership on internal fraud risk trends, monitoring effectiveness, and control gaps
• Ensure monitoring solutions withstand executive review, audit testing, and regulatory scrutiny
• Work independently with Internal Risk Management (IRM), Control, Audit, and other partners to provide oversight, challenge, and thought leadership on internal fraud risk and control enhancements
• Navigate ambiguity and shifting priorities while maintaining strong execution discipline, governance, and accountability

Senior Analytics Manager – Global Employee Fraud Monitoring Detection Analytics

• Advise internal business and risk management teams on interpretation of U.S. Federal and State tax withholding and information reporting requirements and their application to a broad range of financial products and payment types
• Develop and maintain job aids and other tools to facilitate the efficient and effective implementation of business processes and controls that ensure compliance with applicable regulations and industry best practices
• Understand compliance and risk management requirements for supported area
• Apply extensive specialized knowledge and act as internal consultant or final authority in area of expertise
• Provide comprehensive tax technical expertise in the research of complex issues and transactions
• Identify opportunities requiring complex tax research, prepare memorandums and make recommendations relating to U.S. Federal and State tax withholding and information reporting risk reduction strategies
• Direct the work of less experienced staff
• Develop relationships with business unit leaders and enterprise staff function leaders to support their business needs and objectives and provide consultation and advice on complex tax withholding and information reporting issues
• Interface with external agencies, jurisdictional tax authorities or industry forums
• Work with stakeholders to implement key tax withholding and information reporting risk management initiatives

Lead Tax Analyst

Consultant

• Lead relationship management responsibility for major clients
• Be responsible for origination and structuring of loan syndications
• Develop new product ideas to maintain customer relationships
• Manage negotiations and structuring commitments with existing customers
• Expand and maintain important client relationships
• Assist management in policy making
• Provide vision, direction and expertise to implement innovative and significant business solutions
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
• Interact with internal customers
• Receive direction from leaders and exercise independent judgment while developing the knowledge to understand function, policies, procedures, and compliance requirements

Senior Lead Commercial Banking Syndication Consultant

Manager

• Provide strong, inclusive leadership to build and retain a high‑performing team, establishing clear expectations, and managing performance through targeted coaching to deliver sales, service, and operational excellence.
• Lead a branch team to proactively identify customer financial needs and deliver tailored consumer and business solutions that drive both customer value and business outcomes.
• Use branch manager routines to build individual capability, confidence, and productivity, delivering consistent, high‑impact coaching through observation, feedback, and follow‑up while holding the team accountable to behaviors and outcomes aligned to Wells Fargo priorities.
• Partner closely with internal sales partners to provide customers a comprehensive, coordinated Wells Fargo experience across Wealth & Investment Management, Business Banking, and Home Lending to maximize relationship depth, customer value, and branch performance.
• Identify opportunities for making banking easier for customers through education and demonstration of available digital options.
• Leverage reporting and employee observations to gain insight into strengths and opportunities, taking decisive action to improve team performance and expand primary bank relationships and wallet share.
• Demonstrate ownership by balancing growth, operational soundness, and talent decisions while proactively managing risk, resolving issues, and modeling behaviors that protect customers, employees, and the company.

Branch Manager

AI Engineer

• Manage and develop the overall Artificial Intelligence roadmap for the company
• Provide leadership, management and direction companywide on artificial intelligence initiatives
• Develop market strategies for the company
• Lead Artificial Intelligence team by making strategic decisions to resolve robotics process automation, natural language processing, and machine learning
• Understand the options in the market and educating companywide on these opportunities
• Collaborate and influence all levels of professionals
• Manage allocation of people and financial resources for Artificial Intelligence Solutions
• Develop and guide a culture of talent development to meet business objectives and strategy

AI Solutions Director

Full-stack Engineer

• Own, lead, and drive technical strategy and implementations multiple Ai, ML initiatives
• Establish and maintain coding standards and best practices
• Lead and influence architectural and implementation decisions
• Conduct regular code reviews and provide constructive feedback
• Oversee design, development, testing and deployment of software

Lead Software Engineer

• Design and develop valuation and risk engines across Rates, FX, Credit, Munis, Treasuries, and Agencies.
• Support pricing, sensitivities, full revaluation, P&L attribution, and capital use cases on a shared platform.
• Integrate quantitative models into production‑grade Java services with a strong focus on robustness and performance.
• Build and enhance Vasara risk and valuation services, including evaluators, result services, and data distribution layers.
• Develop distributed, stateful computation using Apache Ignite or similar in‑memory / distributed data technologies.
• Ensure scalability for millions of positions and events across asset classes.
• Architect and maintain EOD batch frameworks for valuation, risk, and P&L generation.
• Support EOD risk and long‑running valuation processes.
• Optimize performance, batch runtimes, and cluster utilization under heavy workloads.
• Partner closely with Finance on: Clean and comprehensive P&L, P&L Attribution and Explain, Valuation Control and Finance sign‑off.
• Work with Market Risk and Capital teams to ensure consistency across valuation, risk, and reporting outputs.
• Align technical design with downstream Finance, Risk, and Regulatory requirements.
• Own critical production components, including performance tuning, data consistency, and resiliency.
• Diagnose and resolve complex issues related to distributed queries, indexing, memory pressure, and concurrency.
• Collaborate with infrastructure teams on design, BCP, and capacity planning.

Vice President, Front Office Risk Engine Quantitative Developer

• Be responsible for the management of an assigned portfolio of digital real estate loans and investments within Digital Real Estate, a fast paced, high demand / growth team primarily focused on the data center vertical
• Analyze, underwrite and present new opportunities to business leaders and credit officers
• Review term sheets and loan documents
• Collaborate with senior portfolio managers and coverage bankers to develop strategies around relationship optimization and deal level execution
• Interface with customers to assist in identifying needs and maintaining strong relationships
• Review and make recommendations for approval (or denial) of loan requests, lease approvals, collateral releases, requests for letters of credit, funding of reserves/loan holdbacks, loan extensions and loan modifications
• Maintain an in-depth knowledge of the data center industry, relevant markets and sector trends
• Present recommendations for resolving more complex situations and exercising independent judgment while developing expertise in the function, policies, procedures, and compliance requirements
• Perform both sponsorship and loan level financial analysis
• Complete in-depth property level analysis and market research, including review of third-party reports
• Present and advocate to credit committee for approval of loans
• Work with internal / external counsel, internal compliance, and our loan closing teams to close new loans and loan modifications
• Conduct quarterly and annual portfolio reviews to identify potential concerns
• Conduct property tours / site visits

Associate – Commercial Real Estate Portfolio Manager

• Provide strong, inclusive leadership to build and retain a high‑performing team
• Lead a branch team to proactively identify customer financial needs and deliver tailored consumer and business solutions
• Use branch manager routines to build individual capability, confidence, and productivity
• Partner closely with internal sales partners to provide customers a comprehensive Wells Fargo experience
• Identify opportunities for making banking easier for customers

Branch Manager – Eastern Lehigh District

Vice President

• Be responsible for the management of an assigned portfolio of digital real estate loans and investments within Digital Real Estate, a fast paced, high demand / growth team primarily focused on the data center vertical
• Analyze, underwrite and present new opportunities to business leaders and credit officers
• Review and negotiate term sheets and loan documents with clients, co-lenders and internal / external counsel
• Collaborate with senior portfolio managers and coverage bankers to develop strategies around relationship optimization and deal level execution
• Interface with customers to assist in identifying needs and maintaining strong relationships
• Review and make recommendations for approval (or denial) of loan requests, lease approvals, collateral releases, requests for letters of credit, funding of reserves/loan holdbacks, loan extensions and loan modifications
• Maintain an in-depth knowledge of the data center industry, relevant markets and sector trends
• Present recommendations for resolving more complex situations and exercising independent judgment while developing expertise in the function, policies, procedures, and compliance requirements
• Perform both sponsorship and loan level financial analysis
• Complete in-depth property level analysis and market research, including review of third-party reports
• Present and advocate to credit committee for approval of loans
• Conduct quarterly and annual portfolio reviews to identify potential concerns
• Conduct property tours / site visits

Vice President, Lead Commercial Real Estate Portfolio Manager

• Support digital activation strategies across Wholesale client journeys, with a strong focus on lending and credit-related workflows
• Analyze quantitative and qualitative data to identify adoption gaps, friction points, and operational opportunities
• Identify the data signals that matter and translate insights into recommendations that inform journey priorities and execution plans
• Influence product and journey decisions without direct ownership by aligning stakeholders and building strong partnerships
• Define and track activation success measures (e.g., digital usage, self-service adoption, reduction in manual or servicing interactions)
• Collaborate cross-functionally in a highly matrixed environment to deliver cohesive outcomes
• Communicate insights, progress, and recommendations clearly to peers and senior leaders

Senior Digital Product Strategy – Execution Consultant

• Leading complex technology initiatives, including programs with broad, companywide impact
• Acting as a key participant in defining and evolving engineering standards and best practices across technology disciplines
• Designing, coding, testing, debugging, and documenting solutions for complex projects and multi program initiatives
• Reviewing and analyzing large scale technology solutions aligned to tactical and strategic business objectives, the enterprise technology landscape, and complex technical challenges that require evaluation of multiple factors, including intangible or unprecedented considerations
• Making decisions that influence companywide engineering practices by applying industry best practices and modern technologies, while leading teams to meet deliverables and drive new initiatives
• Collaborating with senior engineers, architects, key technical experts, and external industry partners to resolve complex technical issues and achieve shared goals
• Leading projects and teams, or serving as a peer mentor to elevate engineering maturity across the organization