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For Companies At a Glance
- Tasks: Analyze raw data, design prediction algorithms, and collaborate on analytical prototypes.
- Company: Join a $20bn discretionary hedge fund known for its elite investment strategies.
- Benefits: Work in a collaborative environment with top investors and cutting-edge tools.
- Why this job: Gain hands-on experience in finance while working with alternative datasets and innovative technologies.
- Qualifications: Bachelor's degree in a quantitative field and 2-3 years of relevant experience required.
- Other info: Fluency in Python and skills in Excel and SQL are essential.
The predicted salary is between 43200 - 72000 £ per year.
Data Scientist / Quant Researcher
$20bn Discretionary Hedge Fund
We are looking for an elite data scientist to work on a centralised team at a major Macro Hedge Fund. You will be designing, developing and refining tools that incorporate alternative data and macro data into investment analysis and trading pipelines.
This is an opportunity to work with one of the best investors on the street in a uniquely collaborative environment.
Responsibilities
- Analyse raw data: assess quality, cleanse, structure for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Develop expertise in alternative datasets and 3rd party data sources, and share this expertise across the company
Qualifications
- Currently working in institutional finance, ideally at a hedge fund, asset manager or trading firm
- Bachelor\’s degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) [ideally postgrad qualifications]
- At least 2-3 years\’ of experience in quantitative analytics or data modelling [experienced candidates welcome to apply]
- Fluency in Python, plus related skills across Excel, SQL
Data Scientist / Quant Researcher (Hedge Fund) employer: Upward Trend
Contact Detail:
Upward Trend Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Quant Researcher (Hedge Fund)
✨Tip Number 1
Make sure to showcase your experience with alternative datasets and quantitative analytics in your conversations. Highlight specific projects where you've successfully integrated these elements into investment strategies.
✨Tip Number 2
Network with professionals in the hedge fund industry, especially those who work in data science or quantitative research. Attend relevant conferences or meetups to connect with potential colleagues and learn about the latest trends.
✨Tip Number 3
Brush up on your Python skills and be prepared to discuss your coding experience in detail. Consider working on a personal project that demonstrates your ability to design scalable prediction algorithms.
✨Tip Number 4
Familiarize yourself with the specific tools and technologies used in the hedge fund space. Being knowledgeable about the latest data processing frameworks can set you apart from other candidates.
We think you need these skills to ace Data Scientist / Quant Researcher (Hedge Fund)
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and qualifications required for the Data Scientist / Quant Researcher position. Tailor your application to highlight relevant experiences and skills that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in institutional finance, particularly if you've worked at a hedge fund or similar environment. Showcase specific projects where you've analyzed raw data, designed algorithms, or collaborated with engineering teams.
Showcase Technical Skills: Clearly demonstrate your proficiency in Python, Excel, and SQL in your application. Provide examples of how you've used these tools in previous roles to solve complex problems or improve processes.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and the company. Mention your interest in alternative datasets and how you can contribute to the team’s success.
How to prepare for a job interview at Upward Trend
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis and modeling. Highlight specific projects where you assessed data quality, cleansed datasets, or structured data for processing. Use concrete examples to demonstrate your problem-solving abilities.
✨Demonstrate Technical Proficiency
Fluency in Python is crucial for this role. Be ready to discuss your experience with Python, SQL, and Excel. You might be asked to solve a technical problem during the interview, so practice coding challenges beforehand to showcase your skills.
✨Understand Alternative Data Sources
Familiarize yourself with alternative datasets and third-party data sources relevant to hedge funds. Be prepared to discuss how you have used these types of data in your previous roles and how they can enhance investment analysis.
✨Collaborative Mindset
This position emphasizes collaboration with engineering teams. Share examples of how you've successfully worked in cross-functional teams in the past. Highlight your ability to communicate complex ideas clearly and work towards common goals.
