{"id":465096,"url":"https://alion.io/job/stonex-group-senior-staff-it-data-engineering-and-analytics","title":"Senior Staff - IT Data Engineering and Analytics","company":{"id":2646,"name":"StoneX Group","domain":"stonex.com","url":"https://alion.io/company/stonex","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Analytics","role_family":"Analytics","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":47000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":266},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AppDynamics","optional":false},{"name":"ASP.NET Core","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bitbucket","optional":false},{"name":"C#","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Confluence","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"Dynatrace","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"MS SQL","optional":false},{"name":"OpenAI","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Redis","optional":false},{"name":"Redpanda","optional":false},{"name":"Spark","optional":false},{"name":"Splunk","optional":false},{"name":"SQL","optional":false},{"name":"Swagger","optional":false},{"name":"Unity","optional":false},{"name":"OpenTelemetry","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-06T12:09:48Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-26T03:14:56Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Overview\nConnecting clients to markets - and talent to opportunity\nWith 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.\nAt 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.\nBusiness Segment Overview:\nCorporate: 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.\nResponsibilities\nPosition 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.\nPrimary duties will include:\nCore Development Skills\nExpert-level proficiency in C# and .NET Framework/.NET Core (.NET 6/7/8)\nStrong experience in Object-Oriented Design (OOD) and Design Patterns\nAdvanced knowledge of ASP.NET Core, Web APIs, RESTful services\nStrong understanding of Multithreading, Asynchronous Programming, and Performance Optimization\nExperience with Microservices Architecture and distributed systems\nStrong debugging, code profiling, and troubleshooting skills\nDatabase & Data Engineering\nExpertise in Microsoft SQL Server\nAdvanced SQL query optimization and performance tuning\nExperience with stored procedures, indexing, partitioning, and database design\nKnowledge of NoSQL databases (MongoDB, Cassandra, Redis) is preferred\nExperience handling large-scale market and risk datasets\nHands-on experience with Databricks for large-scale data processing, including Spark-based ETL/ELT pipelines, Delta Lake, and Unity Catalog\nModern data engineering skills, including workflow orchestration (Airflow), data pipeline design, data quality/observability, and building scalable batch and streaming data platforms\nArtificial Intelligence & Machine Learning\nExperience integrating AI/ML models into data platforms, automation workflows, and risk applications\nExposure to Large Language Models (LLMs) and Generative AI frameworks (e.g., Azure OpenAI, LangChain, Copilot)\nExperience applying AI-driven observability, anomaly detection, and intelligent automation to platform reliability\nFamiliarity with responsible AI principles and model governance in a regulated financial services environment\nCloud & DevOps\nExperience with cloud platforms such as Azure or AWS\nCI/CD implementation using Azure DevOps, GitHub Actions, or Jenkins\nContainerization using Docker and Kubernetes\nMessaging & Integration\nExperience with messaging frameworks: \nKafka/Redpanda\nRabbitMQ\nMQ Series\nService-oriented architecture and event-driven design\nRisk Technology & Financial Domain Knowledge\nMarket Risk : VaR (Value at Risk), Stress Testing, Expected Shortfall, Sensitivity Analysis (Greeks), Trading and Position Risk Monitoring\nCredit Risk : PD, LGD, EAD Models, Counterparty Credit Risk, Exposure Calculations, Credit Limit Monitoring\nLiquidity Risk: Liquidity Coverage Ratio (LCR), Net Stable Funding Ratio (NSFR),\nArchitecture & Engineering Practices\nDomain-Driven Design (DDD)\nEvent-Driven Architecture\nAPI Management and Governance\nSecure Software Development Lifecycle (SSDLC)\nSOLID Principles and Clean Architecture\nSystem Design and Scalability Patterns\nTools & Technologies\nVisual Studio\nGit/GitHub/Bitbucket\nAzure DevOps\nJira/Confluence\nSplunk/AppDynamics/Dynatrace\nSwagger/OpenAPI\nPrimary duties will include:\nTechnical Leadership\nLead the design, development, and support of enterprise-scale Risk Technology platforms.\nDefine technical architecture, coding standards, and engineering best practices.\nDrive modernization initiatives involving cloud migration, microservices, and event-driven architectures.\nMake architectural decisions that ensure high availability, scalability, and resilience.\nRisk Platform Development\nBuild and enhance applications supporting Market Risk, Credit Risk, Liquidity Risk, and Regulatory Reporting functions.\nCollaborate with Risk Managers, Quantitative Analysts, and Front Office stakeholders to implement risk calculation engines and reporting solutions.\nDeliver real-time and batch risk processing systems.\nTeam Leadership\nLead and mentor a team of software engineers.\nConduct code reviews and ensure high-quality software delivery.\nProvide technical guidance and career development support to team members.\nDrive Agile delivery practices and sprint planning activities.\nStakeholder Management\nPartner with business users, risk managers, product owners, and enterprise architects.\nTranslate complex risk requirements into scalable technical solutions.\nProvide regular updates to senior management and technology leadership.\nSolution Architecture\nDesign robust APIs, integration frameworks, and data processing solutions.\nEnsure systems comply with enterprise architecture and security standards.\nReview and approve solution designs and technical documentation.\nOperational Excellence\nEnsure platform stability, reliability, and performance.\nLead production issue resolution and root cause analysis.\nImplement monitoring, observability, and automated support capabilities.\nDrive continuous improvement and technical debt reduction initiatives.\nGovernance & Compliance\nEnsure adherence to regulatory requirements and audit standards.\nSupport technology risk assessments and controls testing.\nParticipate in architecture review and risk governance forums.\nQualifications\nTo land this role you will need:\n7-10+ years of software development experience.\n3+ years leading teams in financial services, investment banking, capital markets, or trading organizations.\nExperience developing Risk, Regulatory, Trading, or Middle-Office technology platforms.\nExposure to large-scale risk engines, pricing systems, and real-time market data platforms.\nExperience working with global distributed teams and stakeholders.\nNice-to-Have Skills\nPython for analytics and risk calculations\nDatabricks/Spark\nQuantitative finance exposure\nAI/ML applications in Risk Management\nLow-latency trading or risk systems\nExposure to OpenTelemetry and modern observability platforms\nIdeal 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 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