Sr AI Strategist - Trading & Data Platforms

Sr AI Strategist - Trading & Data Platforms

Date: Jul 9, 2026

Company: Next Era Energy

Requisition : 96170

Next Era Energy Marketing is one of the nation’s leading electricity and natural gas marketers, and a key player in the energy markets in the United States and Canada. As a part of Next Era Energy Resources, we specialize in innovative energy strategies that maximize market value for our customers and stakeholders. Our team is skilled in market analysis, trading, risk management and delivering tailored customer solutions across North America.

If you are a strategic thinker eager to make a significant impact in the fast-paced energy industry, join our team today.

Position Specific Description

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

The ideal candidate will partner directly with traders and business stakeholders to deliver low-latency, scalable, and high-impact solutions
, while modernizing legacy processes and reducing reliance on manual Excel-driven workflows. Experience developing applications using low-code/no-code platforms and AI coding assistants (e.g., Claude, Codex, Devin, Windsurf) is highly preferred

Key Attributes for Success

• Entrepreneurial mindset with a strong sense of ownership and accountability
• Ability to operate independently with minimal supervision
• Strong problem-solving skills and creativity in applying technology solutions
• Proven ability to build trust with traders and stakeholders in fast-paced environments
• Comfortable working across both technical and business domains

What Success Looks Like

• Reliable, automated pipelines replacing manual processes
• Improved data quality, transparency, and timeliness across trading workflows
• Faster and more accurate P&L, position, and risk visibility
• Increased trader productivity through automation and analytical tools
• Strong adoption and trust from front-office stakeholders

Key Responsibilities

AI Development

• 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.
• 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
• 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
• 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:
• 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

The Ideal Candidate will have

• 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…