Fixed Income Data Scientist — Research to Production

Coolabah Capital Investments; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Equity participation

Bonus pool

Job summary

Coolabah Capital Investments in London is seeking a data scientist to apply quantitative methods to fixed income markets, focusing on asset pricing, portfolio management modelling, and research-driven engineering tasks.

You will work with R tidyverse, Python and SQL, munging large datasets, back-testing models, and delivering clear written methods and visualisations within pre‑agreed timetables. Equity participation may be available.

Qualifications

• Ideally a reliable quant researcher or data scientist with an advanced degree and industry experience.
• Experience applying data science techniques to real-world problems.
• Willingness to make a long-term commitment to the role.

Responsibilities

• Apply data science skills to fixed income markets and asset pricing models.
• Lead long‑term research and production‑grade engineering tasks.
• Munge large datasets from multiple sources and benchmark methods.
• Back‑test models, produce visuals, and write clear methodology papers.
• Deliver outputs on pre‑agreed timetables and drive innovation.

Skills

Team player

Statistical modelling

Data munging & analysis

Engineering best practices

High-intensity work ethic

Knowledge of financial markets not req

Education

Advanced degree in statistics/engineering/science/actuarial

Tools

R tidyverse

Python Pandas

SQL

data.table

Job description

Coolabah Capital Investments in London is seeking a data scientist to apply quantitative methods to fixed income markets, focusing on asset pricing, portfolio management modelling, and research-driven engineering tasks.

You will work with R tidyverse, Python and SQL, munging large datasets, back-testing models, and delivering clear written methods and visualisations within pre‑agreed timetables. Equity participation may be available.