Research Engineer

Join Complete the Mosaic as our first Research Engineer, combining data analysis, forecasting model development, and production-grade coding to drive insights for world-class institutional investors.

You will learn from a proven leader in finance building the fastest, most accurate energy intelligence platform for institutional investors with an integrated solution providing the output of a top hedge fund commodity team.

You'll split your time between:

Research & Analysis (50%)

• Analyse energy flows, storage dynamics, and supply/demand signals to uncover market-moving insights

• Build and refine forecasting models for energy prices and market movements

• Work directly with clients on bespoke analytical problems

• Stay ahead of market trends and competitive developments

Engineering & Building (50%)

• Write production Python code to automate research workflows and scale analysis

• Build data pipelines that power our products (DuckDB, Polars, SQL)

• Own end-to-end solutions from data ingestion to client-facing outputs

• Contribute to our core infrastructure and data architecture

This is not: a research role where you hand off to engineers, or an engineering role where you ignore the research. You'll do both, report to the founder, and have real autonomy.

Ideal fit: Strong foundation in Python or a quantitative field (physics, maths, engineering, economics). Curiosity about both financial markets and how to build systems that scale. Not afraid to do both research and code in the same week.

Success looks like: Within 6 months, you've owned a research project from conception to client delivery, built a production pipeline that scales, and contributed to at least one core forecasting model. Within 12 months, you're leading your own research vertical or architectural initiative.