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- 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 the forefront of systematic investing.
- 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. Work 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 employer: ADLIB Recruitment | B Corp™
Contact Detail:
ADLIB Recruitment | B Corp™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Research
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their values, and be ready to discuss how your skills align with their needs. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant data science projects, make sure to highlight them during interviews. We love seeing practical applications of your skills, so don’t hold back on sharing your successes and learnings.
✨Tip Number 4
Apply through our website! It’s super easy and gives you a direct line to the hiring team. Plus, we’re always on the lookout for passionate candidates who are eager to make an impact in the field of data science.
We think you need these skills to ace Senior Data Scientist - Research
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 our needs.
Showcase Your Projects: Include specific projects where you've applied machine learning, NLP, or statistical modelling. We love seeing real-world applications of your academic research, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter should reflect your genuine interest in bridging academic research with financial insight. Let us know why you’re excited about this role and how you can contribute to our team’s success.
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 get in touch with you quickly if we think you’re a good fit!
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. The interviewers will want to see that you can connect theory with practice.
✨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. Familiarise yourself with tools like PyTorch and be ready to discuss your experience using them.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex concepts in simple terms. You’ll need to communicate effectively with economists and technologists, so think about how you can convey your ideas clearly and concisely during the interview.
✨Be Curious and Engaged
Show your genuine interest in applying academic research to real-world problems. Prepare thoughtful questions about the company’s research strategies and how they integrate data science into their investment decisions. This will demonstrate your enthusiasm for the role and the field.