At a Glance
- Tasks: Dive into data science, coding, and research for a leading fixed income fund manager.
- Company: Join a rapidly growing and innovative fixed income fund manager.
- Benefits: Competitive pay, performance bonuses, and equity participation opportunities.
- Other info: Creative and demanding role with significant responsibilities and career growth potential.
- Why this job: Make a real impact in finance while developing your data science skills.
- Qualifications: Advanced degree in stats/engineering/science; strong data analysis and modelling skills.
The predicted salary is between 60000 - 80000 £ per year.
Rapidly growing fixed income fund manager. Research and coding intensive data science role. Competitive compensation including performance-based bonus.
We are a successful fixed-income fund manager running multiple portfolios/strategies looking for a full-time data scientist who is able to apply a range of data science skills to the fixed income market. Reporting to the lead data scientist as well as portfolio managers, the role is full-time and will span long-term project research and engineering duties.
In particular, the role will involve:
- Using R and other languages for asset pricing and portfolio management modelling;
- Managing and munging large datasets from multiple sources;
- Benchmarking research methods against state-of-the-art academic literature;
- Back-testing models against suitable benchmarks and metrics;
- Driving model development and research into production grade systems;
- Producing intuitive and immersive data visualisations;
- Producing written method papers that are clear and well-communicated;
- Delivering outputs/results according to pre-agreed timetables;
- Investigating ways in which our technical methods can be enhanced.
Pay will be market competitive in all respects with the opportunity to earn significant bonuses based on performance and equity participation in the business.
Skills/Experience:
Ideally suits a reliable quant researcher or data scientist with an advanced degree in stats/engineering/science/actuarial who has applied data science techniques in industry, and wants to make a long-term commitment to their next position. Suitable candidates will possess the following attributes:
- Team player
- Excellent statistical modelling skills
- Excellent data munging and analysis skills
- Understanding of good engineering practices when contributing to large shared code bases
- High-intensity work ethic + willingness to work outside normal hours
- No prerequisite financial markets knowledge/experience required.
This role uses the R tidyverse framework for data munging. If unfamiliar with tidyverse, then experience with R data.table, Python Pandas, SQL or similar is required together with the willingness to transition to R tidyverse.
It is expected a market-competitive contract will be agreed with the opportunity to participate in the bonus pool and equity ownership scheme. The work will be demanding but also highly creative with the right candidate able to assume significant responsibilities and drive innovation.
Data Scientist employer: Coolabah Capital Investments
Coolabah Capital Investments is an exceptional employer, offering a dynamic work environment in the heart of London for those passionate about fixed-income trading. With a strong focus on employee growth and development, the firm provides competitive compensation packages, including participation in a bonus pool and equity opportunities, fostering a culture of high performance and collaboration among its talented team. Joining Coolabah means being part of a leading global investment firm where your contributions directly impact portfolio performance and where your quantitative skills can thrive.
Contact Details:
Coolabah Capital Investments Recruitment Team
