IT Programmer Analyst, Principal - Trading Risk & Data Governance Job at VDart i

Job Title: IT Programmer Analyst, Principal - Trading Risk & Data Governance Job Type: Long-term contract We are seeking an experienced Principal Developer to lead the development, architecture, and implementation of advanced trading risk management solutions, with a strong emphasis on data governance, quantitative analytics, and proof-of-concept (POC) innovation. The ideal candidate will leverage modern technology platforms such as Beacon, CubeLogic, and Dataiku to deliver scalable, high-performance systems supporting trading, market risk, and analytical functions. This role collaborates closely with trading, risk management, and quantitative analytics teams to translate business and regulatory requirements into robust, enterprise-grade technical solutions. Lead the design, development, and deployment of trading risk management systems with a strong focus on data governance best practices. • Architect and deliver POC solutions for quantitative analytics and market risk data processing. • Build and integrate applications using Beacon, CubeLogic, and Dataiku to support trading operations and risk analytics workflows. • Collaborate with cross-functional teams to translate business requirements into scalable technical architectures. • Develop data pipelines, ETL processes, and data quality frameworks ensuring accuracy, timeliness, and reliability of risk data. • Establish and enforce data governance standards, policies, and procedures. • Evaluate emerging technologies to drive innovative enhancements across trading risk systems. • Ensure all solutions align with regulatory compliance requirements (CFTC, FERC, ETRM standards). • Partner with enterprise stakeholders to deliver secure, high-performance, and scalable applications. Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (Master's preferred) • 8+ years of software development experience, including 3+ years in a senior or lead role • Strong programming expertise in Java, Python, or similar languages • Experience with trading systems, risk management platforms, or financial data systems • Proven success architecting and delivering enterprise-level applications • Strong understanding of data governance, data quality, and MDM best practices • Experience with modern data platforms (Dataiku highly preferred) • Proficiency in SQL, relational databases, and NoSQL technologies • Experience with AWS, Azure, or GCP • Ability to interface effectively with both technical and business teams Background in quantitative analytics, market risk, or trading operations • Knowledge of energy trading markets and commodities • Experience with machine learning and advanced analytics tools • Familiarity with risk metrics such as VaR, Greeks, scenario analysis • Understanding of regulatory frameworks (ETRM, CFTC, FERC) • Experience with Agile/Scrum delivery methodologies •