Senior Risk Developer (PythonAzure)

SMBC

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profile Job Location:

Charlotte, VT - USA

profile Monthly Salary: Not Disclosed
Posted on: 11 hours ago
Vacancies: 1 Vacancy

Job Summary

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history SMBC Group offers a diverse range of financial services including banking leasing securities credit cards and consumer finance. The Group has more than 130 offices and 80000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group Inc. (SMFG) is the holding company of SMBC Group which is one of the three largest banking groups in Japan. SMFGs shares trade on the Tokyo Nagoya and New York (NYSE: SMFG) stock exchanges.

In the Americas SMBC Group has a presence in the US Canada Mexico Brazil Chile Colombia and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia the Group offers a range of commercial and investment banking services to its corporate institutional and municipal clients. It connects a diverse client base to local markets and the organizations extensive global network. The Groups operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC) SMBC Nikko Securities America Inc. SMBC Capital Markets Inc. SMBC MANUBANK JRI America Inc. SMBC Leasing and Finance Inc. Banco Sumitomo Mitsui Brasileiro S.A. and Sumitomo Mitsui Finance and Leasing Co. Ltd.

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.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

    • 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.

Role Objectives: Interpersonal

Level and Scope

    • 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.

Required Qualifications

    • 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.

Preferred Qualifications

    • 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.

SMBCs employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home as well as from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles including for example certain FINRA-registered roles for which in-office attendance for the entire workweek is required.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal state and local law. If you need a reasonable accommodation during the application process please let us know at


Required Experience:

Senior IC

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history SMBC Group offers a diverse range of financial services including banking leasing securities credit cards and consumer finance. The Group has more than 130 offices and 80000 employees worldwide in nea...
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Key Skills

  • APIs
  • Docker
  • Jenkins
  • REST
  • Python
  • AWS
  • NoSQL
  • MySQL
  • JavaScript
  • Postgresql
  • Django
  • GIT