Senior Staff IT Data Engineering and Analytics

Connecting clients to markets and talent to opportunity

With more than 5400 employees serving over 80000 commercial institutional and payments clients and more than 400000 retail accounts from more than 80 offices spread across six continents were 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 youll 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 youll have the opportunity to optimize processes and implement game-changing policies.

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) this role youll 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 ecosystemsanchored 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:

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

To land this role you will need:

• 710 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