Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data for trading and modelling, ensuring accuracy in security valuation and compliance.
- Company: Join a leading hedge fund known for innovation and excellence in financial services.
- Benefits: Enjoy competitive pay, remote work options, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values data-driven decisions and fosters collaboration.
- Qualifications: BA/BS in STEM with 2+ years in data analysis; Python and SQL skills required.
- Other info: Opportunity to work with cutting-edge technologies and engage with various financial departments.
The predicted salary is between 48000 - 84000 £ per year.
A leading hedge fund is seeking to recruit a data analyst responsible for back office pricing and time series data for trading, modelling, and analysis. The analyst will work closely with other departments within Management & Control to ensure accuracy and best practices in security valuation, compliance, and risk management.
Main Responsibilities
- Contribute to evaluating and enhancing processes and technologies to improve data accuracy, timeliness, and efficiency.
- Engage regularly with users of financial data to identify, access, and query series of interest within internal databases, including third-party tick databases. Users include Trading, Global Research, Middle Office, Risk, and Compliance.
- Determine detailed specifications and resource requirements for new projects or data-related production changes, and coordinate prioritization and approval with other groups.
- Test content for proper QA and review/approve for production release.
- Evaluate potential data sources and costs/resources when new data services are needed.
- Collaborate with the offshore Data Operations team to oversee processes, including cross-checking, verifying, and updating security and economic data.
- Serve as an escalation point for Level II requests from the Data Operations team.
Experience Required
- A BA/BS degree with a strong academic background in STEM fields, ideally focusing on Data, Mathematics, Statistics, Data Analysis, or other quantitative disciplines.
- Minimum of 2 years of experience in a similar role at an investment firm or a financial data-related role at another organization (e.g., auditor, data vendor, government agency), with a solid understanding of data quality management, data architecture, and business intelligence.
- Good understanding of Python, including fundamental knowledge and a willingness to learn, with familiarity with packages such as NumPy, pandas, and scikit-learn.
- Proficiency in SQL, experience with Unix, and familiarity with scheduling tools like Tidal and Airflow.
- Good understanding of various asset classes such as Equities, Fixed Income, Derivatives, and Commodities.
Data Analyst - Hedge Fund employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Hedge Fund
✨Tip Number 1
Network with professionals in the hedge fund industry. Attend finance and data analysis meetups or webinars to connect with people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL and Python. Consider taking online courses or working on personal projects that showcase your skills in these areas, as practical experience can set you apart.
✨Tip Number 3
Stay updated on the latest trends in data analysis and financial markets. Follow relevant blogs, podcasts, or news outlets to demonstrate your passion for the field during interviews and discussions with potential employers.
✨Tip Number 4
Prepare for technical interviews by practising common data analysis problems and case studies. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills, especially in SQL and Python, which are crucial for this role.
We think you need these skills to ace Data Analyst - Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in financial contexts. Emphasise your skills in Python, SQL, and any familiarity with data quality management and business intelligence.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the responsibilities mentioned in the job description. Discuss how your background in STEM and your experience in similar roles make you a perfect fit for the position.
Showcase Relevant Projects: If you've worked on projects involving data analysis or financial modelling, include these in your application. Detail your role, the tools you used (like NumPy or pandas), and the outcomes of these projects.
Highlight Soft Skills: In addition to technical skills, mention your ability to collaborate with different teams, as the role requires engagement with various departments. Showcase your communication skills and your experience in managing cross-functional projects.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, SQL, and any relevant data analysis tools during the interview. Be prepared to discuss specific projects where you've used these skills, especially with packages like NumPy and pandas.
✨Understand the Financial Landscape
Familiarise yourself with various asset classes such as Equities, Fixed Income, Derivatives, and Commodities. Being able to discuss how these relate to data analysis will demonstrate your understanding of the hedge fund environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you improved data accuracy or efficiency, and be ready to explain your thought process and outcomes.
✨Engage with the Interviewers
Show enthusiasm for the role by asking insightful questions about the team dynamics and the specific challenges they face. This not only shows your interest but also helps you gauge if the company culture aligns with your values.
