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 management team.
- Benefits: Competitive pay, performance bonuses, and equity participation opportunities.
- Other info: Creative and demanding role with significant responsibilities and 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.
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, 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
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Coolabah Capital Investments!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Coolabah Capital Investments.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Coolabah Capital Investments.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Coolabah Capital Investments, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Coolabah Capital Investments, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Coolabah Capital Investments. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Coolabah Capital Investments
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Coolabah Capital Investments!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
