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- Tasks: Lead a Data Analyst team, transforming operations into proactive technical work.
- Company: Join a respected Systematic Hedge Fund with $10BN AUM and a collaborative culture.
- Benefits: Enjoy a pleasant working environment with industry-leading staff retention and tenure.
- Why this job: Be part of a transformative role that partners with Quantitative Research and enhances automation.
- Qualifications: 5+ years as a Data Analyst in a quantitative trading environment; strong Python and SQL skills required.
- Other info: Opportunity to coach a small team and impact business through data integrity and quality.
The predicted salary is between 54000 - 84000 £ per year.
Lead Data Analyst sought to join a small but exceptional Systematic Investment firm (Mid-Frequency Quant Hedge Fund), as they transform the way they use Data across the business. My client is a hugely respected Systematic Hedge Fund with around $10BN in Assets under Management and with a track record dating back to the mid-90s. They employ around 200 staff, all of whom are London-based, and the business is especially well-regarded for its genuinely open, respectful, collaborative and non-siloed culture – leading to industry-leading staff retention and tenure.
They are now looking to appoint a Team Lead Data Analyst in a 50/50 hands-on / management & coordination capacity who can also transform the role of the team away from a largely operational focus into more proactive technical work. You will partner directly with Quantitative Researchers to deliver clean, structured and scalable data, on a largely automated basis. The Data Analyst team is responsible for sourcing and evaluating new data sets, onboarding them and monitoring quality and usage, ensuring reliability across the stack, with the data providing the foundation for alpha research and signal generation in systematic trading strategies.
- 5+ years' experience as a Data Analyst, especially with experience in a systematic Hedge Fund or similar Quantitative Trading environment, providing Datasets for Alpha Research and Signal Generation.
- Excellent coaching, leading and management skills, able to upskill a small team and help them transition to more technical work.
- Strong technical skills in Python, SQL and tools such as dbt, Snowflake, AWS S3, KDB and SQL Server.
- Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least one asset class.
- Familiarity with market data licensing and vendor relationships and experience leading or coaching a technical team.
- Passionate about business impact, code quality, data integrity, and building scalable and robust systems.
This is an incredible opportunity to join a leading Systematic Investment firm with a genuinely pleasant working environment, in a role partnering with Quantitative Research and leading a team whilst transforming the team's role into providing a more proactive service with far greater automation and self-service capacity.
Please apply or feel free to email for more information.
QR Data Analytics Lead - Quant Hedge Fund employer: Winston Fox
Contact Detail:
Winston Fox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QR Data Analytics Lead - Quant Hedge Fund
✨Tip Number 1
Network with professionals in the quantitative finance and data analytics space. Attend industry events, webinars, or meetups to connect with people who work at hedge funds or similar firms. 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 Python, SQL, and AWS. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas, as practical experience can set you apart.
✨Tip Number 3
Demonstrate your understanding of financial instruments by staying updated on market trends and developments. You could even write articles or blog posts about your insights, which can show your passion and knowledge during interviews.
✨Tip Number 4
Prepare for the interview by practising common technical questions related to data analytics and quantitative research. Be ready to discuss how you've led teams in the past and how you can transition a team from operational to more technical work, as this is a key aspect of the role.
We think you need these skills to ace QR Data Analytics Lead - Quant Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience as a Data Analyst, especially in systematic hedge funds or quantitative trading environments. Emphasise your technical skills in Python, SQL, and any tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of the financial instruments mentioned. Discuss how your experience aligns with the role's requirements and how you can contribute to transforming the team's focus.
Highlight Leadership Experience: Since the role involves coaching and leading a team, be sure to include specific examples of your leadership experience. Describe how you've successfully upskilled teams in the past and your approach to fostering a collaborative environment.
Showcase Technical Projects: If you have worked on any projects that involved data sourcing, evaluation, or automation, make sure to mention these. Detail your contributions and the impact they had on previous teams or organisations, particularly in relation to alpha research and signal generation.
How to prepare for a job interview at Winston Fox
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, SQL, and any relevant tools like dbt or Snowflake. Be prepared to discuss specific projects where you've used these skills to solve complex data problems.
✨Demonstrate Leadership Experience
Since the role involves leading a team, share examples of how you've successfully coached or managed others. Discuss your approach to upskilling team members and transitioning them to more technical tasks.
✨Understand the Financial Landscape
Familiarise yourself with various financial instruments mentioned in the job description, such as Equities and Futures. Being able to discuss these confidently will show your understanding of the industry and its data needs.
✨Emphasise Collaboration
The company values a collaborative culture, so be ready to talk about how you've worked effectively with cross-functional teams, especially with Quantitative Researchers. Highlight any experiences where teamwork led to successful outcomes.
