At a Glance
- Tasks: Build data infrastructure and develop quant models for equity trading.
- Company: Join a leading multi-strategy hedge fund with a tech-driven culture.
- Benefits: Competitive salary, remote work options, and a modern work environment.
- Other info: Collaborative team with opportunities for growth and innovation.
- Why this job: Work 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 looking for a Data Scientist to join an equity trading team. The team lead is seeking a talented engineer to help build the research/data infrastructure for the desk and aid data-driven quant trading.
The role will focus on:
- Building forecast/quant models
- Time-series data analysis
- Aiding researchers in identifying alpha in complex data sets
The firm prides itself on tech and research-driven trading, employing people from Google/Meta backgrounds into quant roles and 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 work and a modern work culture. Apply if this sounds like you!
Data Scientist - Central Systematic Equities Team - Quant Hedge Fund in City of London employer: Paragon Alpha - Hedge Fund Talent Business
Paragon Alpha is an exceptional employer for those looking to thrive in the dynamic world of quantitative trading. With a strong emphasis on technology and research, employees benefit from a meritocratic culture that fosters innovation and collaboration, alongside competitive compensation packages and flexible working arrangements. Located at the cutting edge of the finance sector, this role offers unparalleled opportunities for professional growth and the chance to work with top-tier talent from leading tech companies.
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Central Systematic Equities Team - Quant Hedge Fund in City of London
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the hedge fund on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving Python and SQL. This will help us demonstrate our expertise in building quant models and time-series analysis.
✨Tip Number 3
Ace the interview! Brush up on common data science interview questions and be ready to discuss how we can contribute to their research/data infrastructure. Practice explaining complex concepts in simple terms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in the role and the company.
We think you need these skills to ace Data Scientist - Central Systematic Equities Team - Quant Hedge Fund in City of London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, AWS, and SQL in your application. We want to see how you've used these tools in real-world scenarios, especially in building models or analysing time-series data.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Data Scientist role. Mention any relevant projects or experiences that align with building research/data infrastructure and quant trading.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary. Make it easy for us to see why you’re a great fit!
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 don’t miss out on any important updates from us during the process.
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨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 datasets. This will help you stand out as someone who truly understands the field.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle some real-world problems or case studies. Think about how you would approach building research/data infrastructure for the desk. Highlight your analytical thinking and how you can contribute to data-driven decision-making.
✨Cultural Fit Matters
Paragon Alpha values a meritocratic culture, so be sure to convey your passion for tech and research-driven trading. Share examples of how you've thrived in collaborative environments and how you align with their values. This will help them see you as a great addition to their team.
