At a Glance
- Tasks: Develop and refine systematic investment models using ML and NLP.
- Company: Join a leading investment management firm with a research-driven team.
- Benefits: Competitive salary, hybrid working, and opportunities for academic publishing.
- Other info: Make a tangible impact in systematic investing while collaborating with experts.
- Why this job: Blend academic research with real-world applications in a collaborative environment.
- Qualifications: PhD in a quantitative field and strong programming skills in Python.
The predicted salary is between 90000 - 120000 £ per year.
Join a world-class team using ML and NLP to shape methodical research strategies. This is a high-impact role for a recent PhD graduate in a cutting-edge investment research team.
Work with large-scale data and the latest ML and NLP frameworks. Combine academic research with real-world application in a collaborative setting. Join a leading investment management firm and research-driven team as a Senior Data Scientist, working at the frontier of data-led investment strategies, using the latest techniques in machine learning, natural language processing, and quantitative modelling.
This position blends academic insight with practical application in a collaborative and intellectually stimulating environment. You’ll have the opportunity to shape systematic strategies across asset classes while contributing meaningfully to both internal and external research publications.
What you’ll be doing:
- As a Senior Data Scientist, you’ll be part of a high-performing research team dedicated to developing and refining systematic investment models.
- You’ll work hands-on with large and alternative datasets, employing tools like Python, PyTorch, and modern machine learning frameworks to design, test and evolve predictive signals and strategies.
- Your role will be an exciting mix of theoretical research and practical implementation, giving you the opportunity to see your ideas translated into real-world investment decisions.
- You’ll collaborate with economists, technologists and fellow data scientists in a highly supportive, cross-disciplinary environment.
- Not only will you be encouraged to publish and continue your academic interests, but you’ll also be making a tangible impact within a team at the forefront of systematic investing.
This is a role that values curiosity, innovation, and is bridging academic with financial insight.
What experience you’ll need to apply:
- A PhD in a quantitative discipline (e.g. mathematics, statistics, computer science, engineering, or physics), completed within the last two years.
- Strong programming skills in Python or a similar language.
- Experience with machine learning, NLP, or statistical modelling.
- A genuine interest in applying academic research to real-world problems.
- Experience peer reviewing papers, journals etc.
- Excellent communication and collaboration skills.
- Exposure to financial data or investment research is preferable.
What you’ll get in return:
A salary of between £90,000 - £120,000 depending on experience. They also offer hybrid working, meaning two days from home and three in the London office.
What’s next?
Apply with your updated CV and we’ll be in touch to arrange a call and discuss the role in more detail if it’s a good fit!
Senior Data Scientist - Research in London employer: ADLIB Recruitment | B Corp™
Join a leading investment management firm as a Senior Data Scientist, where you'll be part of a world-class research team dedicated to pioneering data-led investment strategies. Enjoy a collaborative work culture that values innovation and academic curiosity, with opportunities for professional growth and the chance to publish your research. With a competitive salary and hybrid working arrangements in vibrant London, this role offers a unique blend of theoretical insight and practical application in a cutting-edge environment.
Contact Details:
ADLIB Recruitment | B Corp™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Research in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at ADLIB or similar firms. A friendly chat can lead to insider info about the role and even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your ML and NLP knowledge. Be ready to discuss how you've applied these skills in real-world scenarios. We want to see your passion for turning academic research into practical solutions!
✨Tip Number 3
Showcase your collaborative spirit! Highlight experiences where you’ve worked with cross-disciplinary teams. This role thrives on teamwork, so let us know how you can contribute to a supportive environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Senior Data Scientist - Research in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your relevant skills and experiences for the Senior Data Scientist role. We want to see how your PhD and programming skills in Python or similar languages align with what we're looking for!
Showcase Your Projects:Include any projects that demonstrate your experience with machine learning, NLP, or statistical modelling. We love seeing real-world applications of your academic research, so don’t hold back on sharing your successes!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about applying your research to investment strategies and how you can contribute to our collaborative environment. Let us know what excites you about this opportunity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at ADLIB Recruitment | B Corp™
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, NLP, and statistical modelling. Be ready to discuss your PhD research and how it applies to real-world investment strategies. This is your chance to show off your academic insights!
✨Showcase Your Skills
Prepare to demonstrate your programming skills in Python or similar languages. You might be asked to solve a problem on the spot, so practice coding challenges related to data science and machine learning to feel confident.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex concepts in simple terms. Think about how you would present your research findings to someone without a technical background. Clear communication can set you apart!
✨Be Curious and Engaged
Show genuine interest in the company’s work and ask insightful questions about their research strategies. This demonstrates your enthusiasm for the role and your desire to contribute meaningfully to the team.
