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For Companies At a Glance
- Tasks: Explore datasets, build GenAI solutions, and improve NLP/ML models for investment insights.
- Company: Point72, a leading global alternative investment firm with a focus on innovation.
- Benefits: Private medical insurance, generous leave policies, wellness programmes, and tuition assistance.
- Why this job: Join a dynamic team at the forefront of investing and make a real impact.
- Qualifications: Degree in computer science or quantitative discipline; experience in NLP and Python required.
- Other info: Collaborative culture with excellent career growth opportunities and commitment to diversity.
The predicted salary is between 36000 - 60000 £ per year.
A Career with Point72’ Long/Short Equities Team
Long/short equity is Point72’s core strategy and its success is dependent upon our sector-based investing teams. Using fundamental research, our Research Analysts inform the investment strategies of our Portfolio Managers. Through our Point72 University, you have access to an unparalleled training and coaching curriculum – so you can create your best chance of success. We offer you a clear path based on your abilities, hard work, and performance. Join us for a career at the forefront of investing.
What you’ll do
- Explore and combine rich internal and external compliance approved textual datasets
- Formulate research hypothesis to derive alpha
- Build GenAI solutions, leveraging both internal models and permissible external APIs
- Turn unstructured text into usable data that can help provide inputs to the investment process and quantitative models
- Create systems to pull useful information from large collections of text
- Test and improve NLP and ML models so they are reliable and accurate
What’s required
- Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
- Experience in NLP, particularly LLMs
- Proficient in Python, SQL, and general software engineering principles (github, testing, etc.)
- Familiarity with data science stack
- Interest in financial markets
- Collaborative mindset
- Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Private Medical and Dental Insurances
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of colour and the LGBQT+ community
- Mental and physical wellness programmes
- Tuition assistance
- Non-contributory pension and more
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long‑term growth. For more information, visit https://point72.com/.
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L/S NLP/ML Engineer – London employer: Point72 Asset Management, L.P
Contact Detail:
Point72 Asset Management, L.P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land L/S NLP/ML Engineer – London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Point72. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or experiences related to NLP or ML, be ready to discuss them in detail. We want to see how you think and solve problems, so bring your A-game!
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and SQL. Practice coding challenges and be ready to explain your thought process. We love seeing how you tackle real-world problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Point72.
We think you need these skills to ace L/S NLP/ML Engineer – London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the L/S NLP/ML Engineer role. Highlight your experience in NLP and ML, and don’t forget to showcase your Python and SQL skills. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them! Whether it’s a personal project or something from your studies, we want to see how you’ve applied your skills in real-world scenarios. Don’t be shy about sharing your GitHub links!
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s straightforward and ensures your application gets to the right people. Plus, you’ll find all the info you need about the role there!
How to prepare for a job interview at Point72 Asset Management, L.P
✨Know Your Stuff
Make sure you brush up on your NLP and ML knowledge, especially around LLMs. Be ready to discuss your experience with Python and SQL, as well as any projects you've worked on that relate to turning unstructured text into usable data.
✨Show Your Passion for Finance
Point72 is all about investing, so demonstrate your interest in financial markets during the interview. Share any relevant experiences or insights you've gained, and be prepared to discuss how your technical skills can contribute to their investment strategies.
✨Collaborate and Communicate
Since a collaborative mindset is key, think of examples where you've worked effectively in a team. Highlight your communication skills and how you can share complex ideas clearly, especially when discussing your research hypotheses or model improvements.
✨Ethics Matter
Point72 values the highest ethical standards, so be ready to talk about how you approach ethical dilemmas in your work. Share any experiences where you've had to make tough decisions and how you prioritised integrity in your projects.
