SMBC Group is hiring a Senior Risk Developer at the VP level to design and optimize the core technology powering our enterprise risk management. In this role, you will build and operate scalable solutions that enable advanced risk analytics, automation, and decision intelligence across the organization.
What You'll Do
- Architect, develop, and maintain scalable risk data pipelines and curated datasets using Azure Databricks to support enterprise risk management frameworks.
- Engineer and optimize data ingestion, transformation, storage, and retrieval solutions using SQL and Python with a focus on performance, reliability, and auditability.
- Build, deploy, and operate AI and ML models for risk analytics, including experimentation, versioning, lineage, and governance using Databricks MLflow.
- Design and implement prompt-based AI agents and AI-driven workflows to improve risk analysis, validation, monitoring, and decision support.
- Implement and enforce CI/CD practices for risk models, pipelines, and applications, ensuring controlled promotion, rollback readiness, and version control.
- Apply SDLC standards across build and release activities, including secure coding, testing discipline, documentation, and compliance with model governance and quality guidelines.
- Partner with risk analysts, data scientists, and business stakeholders to define requirements and deliver scalable, user-centered risk technology solutions.
- Develop user-facing risk applications and dashboards using modern UI frameworks (including React), integrating backend services and AI and ML outputs for interactive, near real-time insights.
- Collaborate with UI/UX and front-end teams to deliver responsive, intuitive experiences that drive stakeholder adoption and reduce operational friction.
- Identify and deliver process improvements that increase efficiency, scalability, and resilience of risk data processing, model execution, validation, monitoring, and reporting.
- Lead and influence engineering delivery in an Agile environment, promoting engineering excellence, continuous improvement, and practical innovation.
- Communicate architecture, tradeoffs, and delivery status effectively to technical and non-technical stakeholders, including senior leadership.
What We're Looking For
- 10+ years of data engineering or software development experience in financial services.
- Advanced hands-on expertise with Azure Databricks and core Azure services used in eventing, monitoring, and integration (Azure Functions, Azure Data Lake Storage, Azure Event Grid, Azure Log Analytics, Azure Monitor, Azure Service Bus).
- Strong programming and database skills: Python, SQL (SQL Server, T-SQL, stored procedures), and working knowledge of Oracle and PL-SQL; R exposure where relevant to analytics workflows.
- Demonstrated experience building and operating AI and ML solutions across the model lifecycle, including deployment and production support.
- Hands-on experience with Databricks MLflow for model tracking, experimentation, and governance.
- Experience designing or implementing prompt-based AI agents or AI-assisted workflows in production or near-production settings.
- Proficiency with Azure DevOps and CI/CD practices applied to data pipelines and model deployments.
- Modern UI development capability, including React, and integration patterns between front-end applications and backend and data services.
- Experience leading development efforts and collaborating in Agile delivery models.
- Strong analytical problem-solving skills applied to risk data management and risk analytics use cases.
- Strong stakeholder management and communication skills, including the ability to explain technical solutions to non-technical audiences.
Nice to Have
- Power BI experience for visualization and dashboarding.
- Power Apps exposure for workflow automation and business process integration.
- Domain familiarity with financial institution risk analytics (market risk, credit risk, enterprise risk).
- Familiarity with model risk management practices and regulatory expectations for AI and ML models.
Technical Stack
- Azure Databricks, Azure Functions, Azure Data Lake Storage, Azure Event Grid, Azure Log Analytics, Azure Monitor, Azure Service Bus
- Python, SQL, SQL Server, T-SQL, Oracle, PL-SQL, R
- Databricks MLflow, Azure DevOps, React, Power BI, Power Apps
Team & Environment
This is a VP-level individual contributor or lead developer role within the Risk Technology organization. You will report to designated technology leadership within that organization.
Work Mode
This position follows a hybrid work model.
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law.
