AI Engineer – Trading Analytics & Data Platforms
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AI Engineer – Trading Analytics & Data Platforms
London (Hybrid – 3 days/week onsite)
6 Month Contract Role (Inside IR35 – Competitive Day Rate
About the Role
We are seeking an experienced AI Engineer with a strong data engineering foundation and a passion for solving real-world trading problems. You will work directly with traders and analysts, building AI-powered analytics and data solutions that deliver actionable insights from market pricing and fundamental data—often in near real-time.
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 You’ll 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 You’ll Bring
- Strong hands-on experience with Databricks and Spark (PySpark, SQL, Delta Lake, Unity Catalog)
Nice to Have
- Experience in commodity or financial trading environments
- Understanding of market fundamentals, derivatives, P&L, contracts, and trading lifecycle
- Knowledge of market microstructure, 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 you’re excited about applying AI and advanced analytics in a trading environment and working directly with front-office stakeholders, we’d love to hear from you.