Senior Lead Operational Risk Officer - AI Engineering
- Wells Fargo
- 7 - 10 years
- Hyderabad
- 3 days ago
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Job Description
About this role:
Wells Fargo is seeking a Senior Lead Operational Risk Officer
In this role, you will:
- Provide companywide oversight and governance of an integrated operational risk program or initiative
- Develop and drive innovative operational risk approaches and solutions companywide through an influence model
- Identify potential business operational risks
- Develop and drive innovative operational risk approaches and solutions companywide through an influence model
- Constructively and independently challenge existing risk management fundamentals or assumptions and develop alternative approaches and solutions
- Evaluate long term implications and consequences of strategic business decisions and recommend appropriate alternatives for risk management
- Lead implementation of complex initiatives with high risk, generally spanning multiple business lines
- Consult to the business on corrective action plans and effectively managing change
- Influence and negotiate with executive management and business heads as high-level stakeholders both within and outside Wells Fargo
- Lead initiatives and virtual teams across the organization to deliver companywide business risk management transformations
- Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
- Lead project or virtual teams and mentor less experienced staff
Required Qualifications:
- 7+ years of Operational Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- 7+ years of Experience establishing large scale technology platforms
- 3-5 years experience in orchestration engines and BPM or Robotic based automation
- 2-4 years experience with data warehousing and large-scale databases or similar technologies
- Highly proficient in Python modules, coding best practices, and CI/CD processes
- Strong Database SQL experience and knowledge of ETL processes
- Hands on experience in building integrations via Web Services (REST, SOAP, etc)
Job Expectations:
- Drive the vision and execution of AI adoption across Corporate Risk, Control teams and Technology teams through the technology build out and adoption of core technologies
- Focus on understanding business requirements and developing robust technical capabilities to leverage AI and Data to drive tangible insights that drive actions and business outcomes
- Expertise in multiple programming language including (Python, SQL)
- Experience with Generative AI, RAG pipelines, and agentic AI systems
- Practical experience in using LLMs, prompt engineering, vector databases, and orchestration
- Full stack developer with the ability to establish agentic ai workloads using frameworks such as LangGraph, Crew AI, Microsoft AutoGen, LangChain, Chainlit
- Expertise in using AI endpoints to run agentic workflows with tools such as Gemini, Claude, ChatGPT
- Knowledge of Cyber Security, Application Development, Infrastructure is also preferred
- Excellent verbal, written and interpersonal communication skills.
- Ability to present data insights in a clear, concise, and compelling manner to various stakeholders
- Strong analytical skills with high attention to detail and accuracy.
- Ability to interact with all levels of an organization.
- Ability to present complex material in a digestible, consumable manner to all levels of management.
- Broad knowledge of technology risks and the issues faced by financial institutions today.
- Proven experience with managing technology risk issues.
- Experience developing risk metrics and trending reports.
- Ability to synthesize data from a variety of sources and deliver results quickly.
- Leadership experience in driving agile teams, establishing coding-based practices and building solutions in line with business expectations
- Strong ability to lead through influence peers and key stakeholders when driving architectural decisions, solution design, data acquisition strategies, and process re-engineering
- Highly proactive, able to work both independently and within a collaborative team-oriented environment using sound judgment in decision-making.
- Strong organization and detail-oriented skills, with proven ability to manage and prioritize work to meet deadlines despite frequent interruptions.
- Demonstrated ability to work effectively with virtual and/or geographically dispersed teams.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: QA Team ManagerEmployement Type: Full timeContact Details:
Company: Wells FargoLocation(s): Hyderabad
Keyskills: AI Engineering rest risk management python web services full stack developer operational risk data warehousing regulatory compliance sql automation compliance full stack programming language agile etl soap programming bpm
Wells Fargo
Wells Fargo & Company (NYSE: WFC) is a diversified, community- based financial services company with $1. 9 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, insurance, investments, mortgage, and consumer and commercial finance through more ...
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