At a Glance
- Tasks: Build research/data infrastructure and develop quant models for equity trading.
- Company: Join a leading multi-strategy hedge fund with a tech-driven culture.
- Benefits: Market-leading salary, remote work options, and a modern work environment.
- Other info: Collaborate with top talent from Google and Meta in a meritocratic setting.
- Why this job: Be at the forefront of quant trading and make a real impact.
- Qualifications: Experience in Python, AWS, SQL, and a passion for data analysis.
The predicted salary is between 60000 - 80000 € per year.
Paragon Alpha is working with a multi-strategy hedge fund who are looking for a Data Scientist to join an equity trading team. The team lead is looking to bring on a talented engineer to help build the research/data infrastructure for the desk and aid data-driven quant trading.
The role would focus on building forecast/quant models, time-series data analysis, and aiding researchers in identifying alpha in complex data sets. The firm prides itself on tech and research-driven trading and employs people from Google/Meta backgrounds into quant roles, championing a meritocratic culture.
Stack: Python, AWS, SQL
The company offers the chance to work at the forefront of quant trading, with market-leading packages; coupled with 1 day a week remote and a modern work culture.
Apply if this sounds like you!
Data Scientist - Central Systematic Equities Team - Quant Hedge Fund in London employer: LinkedIn
Paragon Alpha is an exceptional employer that fosters a dynamic and innovative work environment, perfect for Data Scientists eager to make an impact in the quant trading space. With a strong emphasis on technology and research, employees benefit from competitive packages, flexible working arrangements, and opportunities for professional growth, all while collaborating with top talent from leading tech firms. Join us to be part of a meritocratic culture that values your contributions and supports your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Central Systematic Equities Team - Quant Hedge Fund in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Paragon Alpha or similar firms. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and analyses. Use GitHub or a personal website to display your work – it’s a great way to stand out from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your Python, SQL, and AWS skills. Be ready to discuss your past projects and how they relate to building research/data infrastructure for trading.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Scientist - Central Systematic Equities Team - Quant Hedge Fund in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, AWS, and SQL, and showcase any relevant projects or achievements that demonstrate your skills in building models and analysing time-series data.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quant trading and how your background aligns with the firm's tech-driven approach. Don’t forget to mention any experience you have in identifying alpha in complex datasets.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills and any relevant tools you've used. If you've worked on projects involving data infrastructure or quant models, share those experiences to show us what you can bring to the team.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Stack
Make sure you’re well-versed in Python, AWS, and SQL. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects. Being able to demonstrate your technical expertise will show that you're a great fit for the role.
✨Understand Quant Trading Concepts
Familiarise yourself with key concepts in quantitative trading, such as forecasting models and time-series analysis. Be prepared to discuss how you can apply these concepts to identify alpha in complex data sets. This will help you stand out as someone who truly understands the field.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some real-world problems during the interview. Think about how you would approach building research/data infrastructure or developing quant models. Sharing your thought process will demonstrate your analytical skills and ability to contribute to the team.
✨Cultural Fit Matters
Research Paragon Alpha’s culture and values, especially their meritocratic approach. Be prepared to discuss how your background aligns with their team, particularly if you have experience from tech giants like Google or Meta. Showing that you resonate with their culture can give you an edge.
