Principal AI Strategist - Trading & Data Platforms

About the role

We are seeking a highly technical and entrepreneurial Principal AI Strategist – Trading and Data Platforms to design, build, and scale data and analytics solutions that power front-office trading, risk management, and operational workflows.

Responsibilities

• Data Engineering & Platform Development
• Design, build, and maintain ETL/ELT pipelines supporting trade, position, and market data ingestion and transformation
• Develop robust data models and pipelines ensuring data accuracy, timeliness, and consistency across trading systems
• Perform data mapping, cleansing, normalization, and transformation using SQL-based solutions
• Implement monitoring and controls to ensure high data quality and reliability
• System Integration
• Integrate front-office trading systems with mid- and back-office platforms (risk, settlements, finance)
• Enable seamless flow of data across deal capture, position tracking, P&L, and reporting systems
• Troubleshoot and resolve data discrepancies across systems
• Market Data Management
• Manage market data subscriptions, ingestion, and vendor integrations
• Ensure completeness, accuracy, and availability of real-time and historical market data
• Establish data validation and reconciliation processes
• Analytics, Reporting & Visualization
• Develop dashboards and reporting for:
• P&L and attribution
• Position and exposure monitoring
• Risk metrics and performance tracking
• Support business users with self-service reporting capabilities using modern BI tools
• Quantitative Support & Trading
• Partner with traders to:
• Develop and backtest trading strategies
• Analyze historical and forward market data
• Optimize market entry/exit signals
• Build lightweight models to support pricing, risk assessment, and scenario analysis
• Automation & Tooling
• Design and deploy lightweight, headless applications to automate manual processes currently performed in Excel
• Leverage low-code / no-code platforms (e.g., Codex, Windsurf) to rapidly develop and deploy solutions
• Improve operational efficiency through automation of:
• Trade reconciliation
• Reporting workflows
• Data ingestion and validation
• Stakeholder Engagement
• Act as a trusted partner to front-office trading teams
• Build strong relationships and proactively identify opportunities to deliver value
• Translate business needs into scalable technical solutions

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
• 7+ years of experience in data engineering, trading systems, or energy trading environments
• Strong experience building and maintaining ETL pipelines and data platforms
• Proficiency with Python and SQL
• Experience integrating trading, risk, and financial systems
• Familiarity with market data platforms and trade lifecycle data

Preferred Qualifications

• Bachelor’s or Equivalent Experience
• 6+ years of experience
• Bachelor’s or Master’s - Business Administration
• Experience in power, gas, or commodities trading environments
• Familiarity with low-code/no-code solutions (Codex, Windsurf, or similar)
• Experience with BI and visualization tools (e.g., Power BI, Tableau)
• Exposure to quantitative modeling, back testing, and statistical analysis
• Knowledge of regulatory reporting and compliance data requirements

Benefits

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.

Pay

N/A

Schedule

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