Senior Staff - IT Data Engineering and Analytics

Overview

Connecting clients to markets - and talent to opportunity

With more than 5,400 employees serving over 80,000 commercial, institutional, and payments clients, and more than 400,000 retail accounts, from more than 80 offices spread across six continents, we’re a Fortune-500, Nasdaq-listed provider, connecting clients to the global markets - focusing on innovation, human connection, and providing world-class products and services to all types of investors.

At StoneX, we offer you the opportunity to be part of an institutional-grade financial services network that connects companies, organizations, and investors to the global markets ecosystem. As a team member, you'll benefit from our unique blend of digital platforms, comprehensive clearing and execution services, personalized high-touch support, and deep industry expertise. Elevate your career with us and make a significant impact in the world of global finance.

Business Segment Overview:

Corporate: Engage in a deep variety of business-critical activities that keep our company running efficiently. From strategic marketing and financial management to human resources and operational oversight, you’ll have the opportunity to optimize processes and implement game-changing policies.

Responsibilities

Position Purpose: The Global Data Distribution (GDD) team at StoneX is seeking a Senior Staff Engineer to lead and scale the operational excellence of our Global Data Distribution (GDD) platform. In this role, you’ll own critical infrastructure reliability, mentor Data Reliability engineers, manage DR readiness, and ensure platform compliance with SOX, internal audits, and incident governance. You will drive automation, observability, and incident lifecycle management across our Azure-based, hybrid-cloud data ecosystems-anchored by Databricks, Airflow, and cloud-native technologies. This role is a senior technical leadership position with partial people management, requiring a proactive, process-oriented mindset and deep expertise in cloud data platform.

Primary duties will include:

Core Development Skills

• Expert-level proficiency in C# and .NET Framework/.NET Core (.NET 6/7/8)
• Strong experience in Object-Oriented Design (OOD) and Design Patterns
• Advanced knowledge of ASP.NET Core, Web APIs, RESTful services
• Strong understanding of Multithreading, Asynchronous Programming, and Performance Optimization
• Experience with Microservices Architecture and distributed systems
• Strong debugging, code profiling, and troubleshooting skills

Database & Data Engineering

• Expertise in Microsoft SQL Server
• Advanced SQL query optimization and performance tuning
• Experience with stored procedures, indexing, partitioning, and database design
• Knowledge of NoSQL databases (MongoDB, Cassandra, Redis) is preferred
• Experience handling large-scale market and risk datasets
• Hands-on experience with Databricks for large-scale data processing, including Spark-based ETL/ELT pipelines, Delta Lake, and Unity Catalog
• Modern data engineering skills, including workflow orchestration (Airflow), data pipeline design, data quality/observability, and building scalable batch and streaming data platforms

Artificial Intelligence & Machine Learning

• Experience integrating AI/ML models into data platforms, automation workflows, and risk applications
• Exposure to Large Language Models (LLMs) and Generative AI frameworks (e.g., Azure OpenAI, LangChain, Copilot)
• Experience applying AI-driven observability, anomaly detection, and intelligent automation to platform reliability
• Familiarity with responsible AI principles and model governance in a regulated financial services environment

Cloud & DevOps

• Experience with cloud platforms such as Azure or AWS
• CI/CD implementation using Azure DevOps, GitHub Actions, or Jenkins
• Containerization using Docker and Kubernetes

Messaging & Integration

• Experience with messaging frameworks:
• Kafka/Redpanda
• RabbitMQ
• MQ Series
• Service-oriented architecture and event-driven design

Risk Technology & Financial Domain Knowledge

Market Risk : VaR (Value at Risk), Stress Testing, Expected Shortfall, Sensitivity Analysis (Greeks), Trading and Position Risk Monitoring

Credit Risk : PD, LGD, EAD Models, Counterparty Credit Risk, Exposure Calculations, Credit Limit Monitoring

Liquidity Risk: Liquidity Coverage Ratio (LCR), Net Stable Funding Ratio (NSFR),

Architecture & Engineering Practices

• Domain-Driven Design (DDD)
• Event-Driven Architecture
• API Management and Governance
• Secure Software Development Lifecycle (SSDLC)
• SOLID Principles and Clean Architecture
• System Design and Scalability Patterns

Tools & Technologies

• Visual Studio
• Git/GitHub/Bitbucket
• Azure DevOps
• Jira/Confluence
• Splunk/AppDynamics/Dynatrace
• Swagger/OpenAPI

Primary duties will include:

Technical Leadership

• Lead the design, development, and support of enterprise-scale Risk Technology platforms.
• Define technical architecture, coding standards, and engineering best practices.
• Drive modernization initiatives involving cloud migration, microservices, and event-driven architectures.
• Make architectural decisions that ensure high availability, scalability, and resilience.

Risk Platform Development

• Build and enhance applications supporting Market Risk, Credit Risk, Liquidity Risk, and Regulatory Reporting functions.
• Collaborate with Risk Managers, Quantitative Analysts, and Front Office stakeholders to implement risk calculation engines and reporting solutions.
• Deliver real-time and batch risk processing systems.

Team Leadership

• Lead and mentor a team of software engineers.
• Conduct code reviews and ensure high-quality software delivery.
• Provide technical guidance and career development support to team members.
• Drive Agile delivery practices and sprint planning activities.

Stakeholder Management

• Partner with business users, risk managers, product owners, and enterprise architects.
• Translate complex risk requirements into scalable technical solutions.
• Provide regular updates to senior management and technology leadership.

Solution Architecture

• Design robust APIs, integration frameworks, and data processing solutions.
• Ensure systems comply with enterprise architecture and security standards.
• Review and approve solution designs and technical documentation.

Operational Excellence

• Ensure platform stability, reliability, and performance.
• Lead production issue resolution and root cause analysis.
• Implement monitoring, observability, and automated support capabilities.
• Drive continuous improvement and technical debt reduction initiatives.

Governance & Compliance

• Ensure adherence to regulatory requirements and audit standards.
• Support technology risk assessments and controls testing.
• Participate in architecture review and risk governance forums.

Qualifications

To land this role you will need:

• 7-10+ years of software development experience.
• 3+ years leading teams in financial services, investment banking, capital markets, or trading organizations.
• Experience developing Risk, Regulatory, Trading, or Middle-Office technology platforms.
• Exposure to large-scale risk engines, pricing systems, and real-time market data platforms.
• Experience working with global distributed teams and stakeholders.

Nice-to-Have Skills

• Python for analytics and risk calculations
• Databricks/Spark
• Quantitative finance exposure
• AI/ML applications in Risk Management
• Low-latency trading or risk systems
• Exposure to OpenTelemetry and modern observability platforms

Ideal Profile: Senior Technical Lead who combines deep C#/Python engineering expertise, financial risk domain knowledge, solution architecture capabilities, and people leadership experience to deliver mission-critical Risk Technology platforms in a regulated financial environment