Open to opportunities

DONOVAN ROBERTSON

@donovanrobertson

Quantitative Analyst building and validating predictive systems across sport, healthcare and high-pressure trading environments.

Spain

Message

What I'm looking for

I’m looking for remote quantitative or data science work where I can own a challenging problem, build the model and see it used. My background spans sports trading and healthcare, and I enjoy getting stuck into new domains. Based in Barcelona, I’m interested in contracts and project-based work, and open to the right permanent role.

I’m a Quantitative Analyst with an MSc in Statistics who enjoys difficult problems where the answer is uncertain and the right approach is not immediately obvious.

At Sports Information Services, I built quantitative tools, data infrastructure and automated reporting for a fast-moving trading department. My analysis contributed to a 10% profit-margin increase for the company’s largest B2B client, earning me a promotion and a Star Performer rating.

Since then, I’ve continued building end-to-end statistical and machine-learning systems across sport and healthcare—from data ingestion and modelling through to validation and decision-ready reporting.

I work with Python, R, SQL, Bayesian statistics, machine learning and Power BI. Based in Barcelona and open to remote contract opportunities.

Experience

Work history, roles, and key accomplishments

Current

Quantitative Analyst

Current

Self Employed

Jan 2025 - Present (1 year 8 months)

Building end-to-end statistical and machine-learning systems across sport and healthcare, covering data ingestion, SQL architecture, probabilistic modelling, validation and interactive reporting. Recent work includes sports forecasting systems and a hierarchical Bayesian analysis of 119,000+ NHS records across 157 trusts.

Python R SQL Statistical Modeling Machine Learning Power BI R Shiny

Senior Trading Analyst

Sports Information Services

May 2023 - Dec 2024 (1 year 7 months)

Built quantitative infrastructure across data, research and reporting for a high-pressure sports trading operation. My analysis contributed to a 10% profit-margin increase for the company’s largest B2B client, earning me a promotion and Star Performer rating. I also mentored traders into the department’s first junior data analyst roles.

Statistical Modeling SQL Python Power BI Trading Analytics

Trading Analyst

Sports Information Services

Apr 2022 - Jun 2023 (1 year 2 months)

Joined a newly established sports department as its sole Trading Analyst. Built quantitative tools, centralised fragmented data and improved reporting to support faster, better-informed trading decisions across multiple stakeholder levels.

Statistical Modeling SQL Python Power BI Trading Analytics

Depaul

Jan 2021 - Mar 2022 (1 year 2 months)

Improved operational reporting and reduced repetitive manual work, giving frontline staff more time to support people experiencing homelessness. This was my first opportunity to apply my data skills to a real organisation and see the human impact of better processes.