Financial Systems Analyst I

Role overview

Responsibilities

• Own product vision, roadmap, prioritized backlog, and lifecycle for enterprise-scale AI and agentic solutions.
• Translate business problems into system designs covering data models, APIs, integrations, data flows, security, scalability, observability, explainability, and auditability.
• Integrate LLMs, retrieval-augmented generation, prompt engineering, and agentic workflows into production business processes.
• Define evaluation frameworks, KPIs, responsible-AI guardrails, and trade-offs across accuracy, latency, cost, and scalability.
• Write user stories, acceptance criteria, and documentation, and drive Scrum or Kanban ceremonies with Jira or Rally.
• Bridge technical and non-technical teams, influence stakeholders, and manage concurrent initiatives.

Qualifications

• Translate business problems into technical solutions and system designs involving AI/ML and GenAI.
• Have hands-on experience with LLMs, prompt engineering, retrieval-augmented generation, embeddings, vector stores, and agent orchestration.
• Understand the ML/AI product lifecycle, model integration, and system-design fundamentals.
• Communicate complex technical concepts effectively and influence cross-functional stakeholders.
• Have full-lifecycle product development and delivery experience in complex environments.
• Have experience gathering, analyzing, and documenting requirements, user stories, acceptance criteria, and functional specifications.
• Have hands-on Agile experience with Scrum or Kanban and tools such as Jira or Rally.
• Banking or financial services experience and a relevant bachelor's degree are preferred.
• Python scripting, BPM, data analytics, and open-source AI technology familiarity are advantageous.

Benefits and support

• Benefits may include competitive base salaries, bonus incentives, financial-well-being support, retirement support, and location-dependent insurance coverage.
• The company offers career development, training, wellness resources, parental leave, and confidential counseling support.
• Working arrangements may vary by role and business need, including hybrid, onsite, or virtual arrangements.