Lead AI Strategist - Trade & Data Platforms

Ai Strategy

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

The role sits at the intersection of AI development, trading, data engineering, and quantitative analytics, enabling accurate, high-quality data flows and real-time insights across the organization.

• Design, develop, and deploy AI-powered applications, agents, and workflow automations that solve business problems and improve operational efficiency.
• Leverage AI coding assistants (e.g., Claude, Codex, Windsurf, Copilot) to accelerate software development, testing, and deployment.
• Build and integrate APIs, databases, LLMs, vector stores, and enterprise systems to create scalable AI solutions.
• Develop and maintain data pipelines, retrieval-augmented generation (RAG) solutions, and agentic workflows using structured and unstructured data sources.

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 Enablement

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.
• Strong experience building and maintaining ETL pipelines and data platforms.
• Proficiency with: Python (data manipulation, automation, scripting) and SQL (data extraction, transformation, and optimization).

Preferred Qualifications

• 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, backtesting, and statistical analysis.
• Knowledge of regulatory reporting and compliance data requirements.