AI Engineer – Trading Analytics & Data Platforms at Deloitte, London, 6 Months, £Competitive Day Rate

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)
• Proven data engineering expertise (data ingestion, modelling, orchestration, performance tuning)
• Solid foundation in statistics, econometrics, or data science—particularly 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 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.