About this role:
Wells Fargo is seeking Senior Software Engineer – Credit Risk Technology (Data & GenAI)
In this role, you will:
Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff.
Required Qualification :
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
Design, develop, and maintain large‑scale data engineering solutions for credit risk data using modern big‑data and distributed computing frameworks
Lead data platform modernization initiatives, including performance optimization, scalability, reliability, and security
Build and optimize ETL/ELT pipelines for structured and semi‑structured data using Spark, Hadoop, and cloud‑based technologies
Develop robust data models, analytics layers, and reporting datasets to support credit risk analysis and regulatory reporting
Apply Generative AI and AI/ML techniques (e.g., LLMs, embeddings, intelligent data enrichment, automated insights, anomaly detection) to enhance risk analytics, data quality, and operational efficiency
Collaborate closely with Credit Risk, Analytics, and Business stakeholders to translate business requirements into technical architectures and solutions
Review code, enforce best practices, and provide technical guidance and mentorship to junior team members
Contribute to architectural decisions, technology selection, and long‑term platform roadmaps
Ensure solutions meet enterprise standards for governance, security, auditability, and regulatory compliance.
Experience with batch processing and scheduling tools such as Autosys
Hands‑on experience with Dremio or similar data virtualization/query acceleration platforms
Experience building data solutions on cloud platforms (AWS, Azure, or GCP), including cloud storage, compute, and orchestration services
Exposure to ML/AI platforms, MLOps concepts, or AI governance frameworks in regulated environments
Experience working in financial services, risk, or regulated data domains
Job Expectations:
4+ years of professional Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
4+ years of hands‑on experience building ETL/ELT pipelines on big‑data platforms such as Apache Spark, Hadoop, and Hive
4+ years of data engineering experience using PySpark/Python, Hadoop ecosystem tools, Hive, and/or Scala
Strong experience (4+ years) with RDBMS and SQL‑based data modeling
3+ years of experience with UNIX/Linux environments and Shell scripting
2+ years of experience leading technical initiatives, mentoring engineers, and providing solution‑level guidance
Solid understanding of data engineering best practices, including performance tuning, data quality, testing, and observability
Experience or strong interest in Generative AI / AI‑driven data solutions, including working with LLMs, AI pipelines, or intelligent analytics use cases.
Posting End Date:
13 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.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
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.
