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- Tasks: Join a fresh Data Science team to derive insights from diverse Alternative Data sources.
- Company: A mid-sized fund with a tech-first ethos, thriving since 2014 in London and New York.
- Benefits: Collaborative work environment with performance-based compensation; no glass walls!
- Why this job: Be part of an innovative team building something impactful from the ground up.
- Qualifications: Degree in hard science and 3+ years of data experience; Python literacy required.
- Other info: Must be eligible to work in the UK; no remote work options available.
The predicted salary is between 43200 - 72000 £ per year.
With fully systematic DNA and significant office presences in London and New York, this mid-sized fund is recognized in the market for its scientific and tech-first ethos. Their structure is happily collaborative meaning no glass walls between desks and business lines, and performance has been excellent since foundation in 2014.
They are building a bespoke embedded Data Science group to work closely with a number of systematic and quantamental investment desks. The team head joined 6 months ago from an industry titan with the allure of building something out at an innovative and dynamic shop. Contributors in this group will be dedicated to deriving value and insights from all sorts of Alternative Data. Datasets may span various sectors, and come from all manner of sources.
This is a fresh build team and the chance to be part of something from the ground. They are also aligned to PnL and compensated accordingly.
Required background:
- Degree in a hard science: Maths, Physics, CompSci or Electrical Engineering mainly. This should be from a top institution.
- 3+ years experience of working with raw data and generating interpretable insights.
- Experience in a financial environment – buy-side preferable but other domain experience feasible.
- Exposure to working with Quant Researchers or Investors previously is the ideal.
- Literacy in Python and general comfort in writing clean code.
Pre-Application:
- Please do not apply if you’re looking for a contract or remote work.
- You must be eligible to live and work in the UK, without requiring sponsorship.
- Please ensure you meet the required experience section prior to applying.
- Allow 1-5 working days for a response to any job enquiry.
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Data Scientist, Quantamental Equites employer: Thurn Partners
Contact Detail:
Thurn Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Quantamental Equites
✨Tip Number 1
Make sure to highlight your experience with raw data and generating insights in your conversations. Be prepared to discuss specific projects where you've successfully derived value from alternative datasets.
✨Tip Number 2
Familiarize yourself with the company's scientific and tech-first ethos. During interviews, demonstrate how your background in hard sciences aligns with their innovative approach to data science.
✨Tip Number 3
Network with professionals in the financial sector, especially those who have experience working with quant researchers or investors. This can provide you with valuable insights and potentially lead to referrals.
✨Tip Number 4
Brush up on your Python skills and be ready to showcase your ability to write clean code. Consider preparing a small coding project that demonstrates your technical proficiency and problem-solving abilities.
We think you need these skills to ace Data Scientist, Quantamental Equites
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Scientist position. Familiarize yourself with terms like 'Quantamental' and 'Alternative Data' to demonstrate your knowledge in your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 3+ years of experience working with raw data and generating insights. Mention any specific projects or roles where you collaborated with Quant Researchers or Investors.
Showcase Technical Skills: Clearly outline your proficiency in Python and any other relevant programming languages. Provide examples of how you've used these skills to solve problems or derive insights from data.
Tailor Your Application: Customize your CV and cover letter for this specific role. Use keywords from the job description and align your experiences with the company's scientific and tech-first ethos to make a strong impression.
How to prepare for a job interview at Thurn Partners
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any other relevant programming languages. Be prepared to discuss specific projects where you utilized these skills to derive insights from raw data.
✨Demonstrate Your Financial Acumen
Since the role is in a financial environment, be ready to talk about your experience in this sector. Discuss any previous collaborations with Quant Researchers or Investors, and how your insights contributed to investment decisions.
✨Emphasize Collaboration
Given the company's collaborative ethos, share examples of how you've worked effectively in teams. Highlight your ability to communicate complex data findings to non-technical stakeholders.
✨Prepare for Case Studies
Expect to engage in case studies or technical assessments during the interview. Brush up on your analytical thinking and problem-solving skills, as you may need to demonstrate how you would approach real-world data challenges.
