AI Engineer – Trading Analytics & Data Platforms

This role sits at the intersection of AI data engineering and trading with a focus on rapid prototyping stakeholder collaboration and production-grade delivery using modern Azure and Databricks ecosystems.

What Youll Do

• Design and deliver AI-driven analytics for front-office use including forecasting seasonality correlation regression and scenario modelling
  
• Build scalable reusable data pipelines using Databricks (PySpark/Spark Delta Unity Catalog) optimizing performance cost and reliability
  
• Develop real-time and near real-time data solutions to support trading and reporting needs
  
• Translate complex trading problems into prototypes and MVPs iterating rapidly based on feedback
  
• Partner closely with traders and analysts to understand requirements and communicate insights effectively
  
• Implement LLM and agent-based workflows (prompt engineering orchestration retrieval tool usage and guardrails)
  
• Perform statistical and econometric analysis on large-scale time-series datasets
  
• Productionize solutions with robust testing observability CI/CD pipelines and documentation
  
• Enable reporting and data access via tools such as Power BI and similar platforms
  

What Youll Bring

• Strong hands-on experience with Databricks and Spark (PySpark SQL Delta Lake Unity Catalog)
  
• Proven data engineering expertise (data ingestion modelling orchestration performance tuning)
  
• Solid foundation in statistics econometrics or data scienceparticularly with market time-series data
  
• Experience building AI/ML and LLM-based solutions (prompting retrieval agent workflows)
  
• Proficiency in Python and modern data/ML tooling (e.g. MLflow feature stores vector databases)
  
• Familiarity with CI/CD Terraform and production-grade engineering practices
  
• Excellent communication and stakeholder management skills with the ability to work directly with front-office users
  

Nice to Have

• Experience in commodity or financial trading environments
  
• Understanding of market fundamentals derivatives P&L contracts and trading lifecycle
  
• Knowledge of market micro structure supply-demand dynamics and risk management concepts
  

Ways of Working

• Hybrid model with close collaboration alongside trading teams
  
• Fast-paced iterative delivery: prototype quickly refine with users and scale to production
  
• Strong focus on engineering excellence including automated testing governance and operational reliability
  
• Ability to work independently while leveraging support from a broader data and engineering team
  

Who You Are

• A pragmatic problem-solver who thrives in ambiguous high-impact environments
  
• Comfortable bridging the gap between technical solutions and trading needs
  
• Driven to deliver measurable value through AI and data
  

If youre excited about applying AI and advanced analytics in a trading environment and working directly with front-office stakeholders wed love to hear from you.