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 settings
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 recent 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 up-to-date 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 Busines

📌 Senior Software Engineer Bengaluru
🏢 WELLS FARGO BANK
📍 Bengaluru