Senior Risk Developer; Python​/Azure

JOB SUMMARY

Senior Risk Developer (VP level) responsible for building and operating enterprise risk technology solutions that enable risk analytics, automation, and decision intelligence. This role designs and optimizes large-scale data pipelines and risk data products on Azure Databricks, develops SQL and Python services, and industrializes AI and ML models using governed lifecycle controls (including MLflow) and CI/CD. The position partners closely with Risk, Data Science, Engineering, and Product stakeholders to translate risk requirements into secure, scalable, auditable platforms and user-facing applications that support enterprise risk management outcomes.

Reporting is within the Risk Technology organization to designated technology leadership, with accountability for end-to-end delivery from design through production support under SDLC controls.

• 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.

• VP‑level individual contributor or lead developer within Risk Technology, impacting enterprise risk analytics platforms, governed model operations, and risk reporting automation.

• Scope includes production‑grade data engineering, AI and ML operationalization, and user‑facing risk tooling integrated into broader enterprise architecture.

• 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 Dev Ops and CI/CD practices applied to data pipelines and…