Jobs at Bread Financial

Supports financial applications, troubleshoots system issues, assists with upgrades and implementations, and analyzes financial and operational data. The role develops reports, validates data, documents requirements and workflows, supports process improvements and automation, and collaborates with finance, technology, and business teams on system enhancements. It also contributes to financial modeling, forecasting, reporting accuracy, and business decision-making.

Rotational program for recent graduates supporting technology and analytics teams. The associate will learn through multiple rotations, build automation or improve existing workflows, create operational reporting and metrics, support controls and audits, collaborate with cross-functional partners, and complete talent development training. The role focuses on Deposit Operations for the Bread Savings program and requires strong communication, Microsoft Office proficiency, reporting skills, and workflow automation knowledge.

Implement and optimize AI Operations and observability capabilities for event correlation, anomaly detection, alert-noise reduction, incident response automation, and operational analytics. Configure monitoring and ITSM integrations, develop automated remediation workflows, evaluate AI/ML operational use cases, and support SRE and service-management teams. The role also provides technical guidance, documents best practices, and assesses emerging AIOps technologies and platform enhancements.

Defines and drives enterprise architecture strategy for Agentic AI, Generative AI, machine learning, and AI data platforms. Establishes architecture standards, reference architectures, adoption roadmaps, and governance frameworks; aligns AI initiatives with business capabilities and enterprise standards; modernizes legacy architecture; presents initiatives to executives; and researches emerging AI technologies. The role requires extensive architecture and IT strategy experience, transformation leadership, AI architecture expertise, and cloud certification.

Leads fraud strategy through trend analysis, root-cause investigation, mitigation recommendations, and fraud-control optimization. Manages and mentors 2–5 fraud analysts, evaluates detection tools and data sources, monitors performance metrics, and communicates risk insights to leadership. Partners with Operations, Compliance, Credit, and Product teams to implement compliant fraud strategies and reduce losses while supporting growth.

Supports enterprise initiative governance through audits, review cadences, scorecard validation, leadership dashboards, presentations, process documentation, training, and continuous improvement. Partners with value stream teams and stakeholders to maintain operating model consistency, improve KPIs and OKRs, and support culture and engagement activities, including surveys, committees, and associate events.

Develop and extend agentic LLM-based systems and internal AI tools, design and build APIs and full‑stack features, write and run unit and automation tests, triage production incidents, enforce code standards, and mentor junior engineers to deliver scalable, well-tested financial technology solutions.

Provides legal department document, contract, litigation, corporate governance, and data administration support. Maintains legal records, contract databases, matter-management systems, and governance documentation; coordinates contract execution, reporting, document intake, board materials, meetings, and outside counsel requests. Reviews legal documents, researches contract terms, supports regulatory requests, and handles confidential administrative tasks while managing deadlines and multiple priorities.

Executive leader defining and executing enterprise platform engineering strategy across cloud, platform services, DevSecOps, SRE, IaC, automation, and developer enablement. Oversees multiple platform organizations, governance, cloud transformation, reliability, security-by-design, FinOps, vendor and investment planning, and builds high-performing leadership teams to improve scalability, efficiency, and engineering productivity.