APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

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 Qualifications:

• Experience in software engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• Proficient In Python development.
• ETL/Data engineering experience

Desired Qualifications:

• A good understanding of core coding concepts like data structures, algorithms, and object-oriented programming (OOP).
• A grasp of modern engineering practices, DevOps principles, version control systems (e.g. Git), automated testing and exposure to Continuous Integration/Continuous Deployment (CI/CD) pipelines.
• Basic understanding of relational databases and SQL and ability to write and optimise simple SQL queries.
• Familiarity with applying Artificial Intelligence (AI) and Machine Learning (ML) techniques to optimise data pipelines, data quality monitoring or reporting processes.
• Exposure to Large Language Models (LLMs) and ability to experiment with fine-tuning or prompt engineering to solve business problems.
• Familiarity integrating AI/ML solutions into existing applications and workflows using APIs, SDKs or agent frameworks.
• Knowledge of Agile methodologies and experience working in Agile teams.
• Careful and methodical approach to writing and testing code.
• Basic to intermediate proficiency with Linux/Unix systems, command-line tools and scripting

Are you ready to take your career to the next level with a growing and global bank that values dynamic collaboration and innovation? At Wells Fargo, we foster a culture where you can truly belong and excel. Join our Enterprise Functions Technology (EFT) group, a team dedicated to providing cutting-edge technology solutions and support across a wide range of business lines including Risk, Audit, Finance, Marketing, Human Resources, Corporate Properties, and Stakeholder Relations. Our EFT group prides itself on continually engineering our portfolio of applications and tools to meet the highest standards of stability, security, scalability, and speed.
This role sits in our Finance Technology team supporting the Finance Controllers organisation with their Regulatory reporting obligations. This role is to support the on-going development of our vendor platform, Axiom ControllerView, and the surrounding in-house built components.

In this role, you will:

• Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts
• Identify opportunities for service quality and availability improvements within the technology domain environment
• Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments
• Review and analyse technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains
• Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements
• Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements
• Provide information to technology colleagues, internal partners, and stakeholders

Required Qualifications:

• Experience in software engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
• Proficient In Python development.
• ETL/Data engineering experience.

Desired Qualifications:

• A good understanding of core coding concepts like data structures, algorithms, and object-oriented programming (OOP).
• A grasp of modern engineering practices, DevOps principles, version control systems (e.g. Git), automated testing and exposure to Continuous Integration/Continuous Deployment (CI/CD) pipelines.
• Basic understanding of relational databases and SQL and ability to write and optimise simple SQL queries.
• Familiarity with applying Artificial Intelligence (AI) and Machine Learning (ML) techniques to optimise data pipelines, data quality monitoring or reporting processes.
• Exposure to Large Language Models (LLMs) and ability to experiment with fine-tuning or prompt engineering to solve business problems.
• Familiarity integrating AI/ML solutions into existing applications and workflows using APIs, SDKs or agent frameworks.
• Knowledge of Agile methodologies and experience working in Agile teams.
• Careful and methodical approach to writing and testing code.
• Basic to intermediate proficiency with Linux/Unix systems, command-line tools and scripting.