At a Glance
- Tasks: Join a research team to develop investment models using ML and NLP.
- Company: Be part of a leading investment management firm focused on data-driven strategies.
- Benefits: Enjoy a competitive salary, hybrid working, and opportunities for academic publishing.
- Other info: Ideal for recent graduates eager to innovate in systematic investing.
- Why this job: Blend academic research with real-world impact in a collaborative environment.
- Qualifications: PhD in a quantitative field, strong Python skills, and interest in financial data.
The predicted salary is between 72000 - 96000 £ per year.
Join a world-class team using ML and NLP to shape methodical research strategies. 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.
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
ADLIB Recruitment is an exceptional employer that champions innovation and personal growth, particularly in the dynamic field of AI. With a commitment to hybrid working, employees enjoy a flexible work culture that fosters creativity and collaboration, while also having the opportunity to lead transformative projects that make a real impact. The company prioritises professional development, ensuring that team members are equipped with the skills and knowledge needed to thrive in their roles.
Contact Details:
ADLIB Recruitment | B Corp Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Research
✨Tip Number 1
Network with professionals in the investment and data science fields. Attend industry conferences, webinars, or local meetups to connect with people who work at leading firms. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your expertise in machine learning and NLP through personal projects or contributions to open-source initiatives. Having a portfolio that demonstrates your ability to apply theoretical knowledge to practical problems will make you stand out.
✨Tip Number 3
Prepare for technical interviews by brushing up on your programming skills, particularly in Python. Practice coding challenges related to data manipulation and machine learning algorithms to ensure you're ready to demonstrate your abilities.
✨Tip Number 4
Familiarise yourself with the latest trends in quantitative finance and investment strategies. Being able to discuss current research and its implications during interviews will show your genuine interest in the field and your readiness to contribute.
We think you need these skills to ace Senior Data Scientist - Research
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your PhD and relevant experience in quantitative disciplines. Emphasise your programming skills in Python and any experience with machine learning or NLP, as these are crucial for the role.
Craft a Compelling Cover Letter:In your cover letter, express your genuine interest in applying academic research to real-world problems. Mention specific projects or experiences that demonstrate your ability to work with large datasets and your collaborative skills.
Showcase Relevant Projects:If you have worked on any projects involving machine learning, NLP, or statistical modelling, be sure to include them in your application. Highlight how these projects relate to investment strategies or financial data.
Prepare for Interviews:Be ready to discuss your academic research and how it can be applied in a financial context. Prepare examples of how you've collaborated with others and contributed to peer-reviewed publications, as this will showcase your communication skills.
How to prepare for a job interview at ADLIB Recruitment | B Corp
✨Showcase Your Research Skills
Be prepared to discuss your PhD research in detail. Highlight how your academic work relates to real-world applications, especially in machine learning and NLP. This will demonstrate your ability to bridge theory and practice.
✨Demonstrate Technical Proficiency
Make sure you can confidently talk about your programming skills, particularly in Python. Be ready to discuss specific projects where you've used machine learning frameworks like PyTorch, as this is crucial for the role.
✨Prepare for Collaborative Scenarios
Since the role involves working with economists and technologists, think of examples where you've successfully collaborated in a team. Emphasise your communication skills and how you’ve contributed to group projects or peer reviews.
✨Express Your Passion for Investment Research
Show genuine interest in applying your skills to investment strategies. Familiarise yourself with current trends in financial data and be ready to discuss how your background can contribute to systematic investing.
