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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 supportive environment with industry-leading staff retention and tenure.
- Why this job: Be part of a dynamic team, partnering with Quant Researchers to drive impactful data solutions.
- Qualifications: 5+ years as a Data Analyst in a quantitative trading environment; strong Python and SQL skills required.
- Other info: Opportunity to lead a team while enhancing automation and self-service capabilities.
The predicted salary is between 43200 - 72000 £ 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 adam@winston-fox.co.uk 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, dbt, and AWS S3. Consider working on personal projects or contributing to open-source projects that utilise these technologies to demonstrate your hands-on experience.
✨Tip Number 3
Prepare to discuss your experience in leading teams and coaching others. Think of specific examples where you've successfully transitioned a team from operational tasks to more technical work, as this aligns closely with the role's requirements.
✨Tip Number 4
Research the firm’s approach to data analytics and systematic trading strategies. Understanding their methodology and how they leverage data for alpha research will allow you to speak knowledgeably during interviews and show your genuine interest in 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 relevant experience in data analytics, particularly within a systematic hedge fund or quantitative trading environment. 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 integrity and business impact. Discuss how your experience aligns with the role's requirements, especially your ability to lead and coach a team towards more technical work.
Showcase Relevant Projects: If you have worked on projects involving data sourcing, evaluation, or automation, be sure to include these in your application. Highlight specific outcomes or improvements that resulted from your contributions.
Highlight Financial Knowledge: Demonstrate your understanding of financial instruments and market data licensing. Mention any specific asset classes you are familiar with, as this knowledge is crucial for the role.
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 managed or coached others. Discuss your approach to upskilling team members and fostering a collaborative environment.
✨Understand the Financial Landscape
Familiarise yourself with various financial instruments such as Equities, Futures, and ETFs. Being able to discuss these topics confidently will show your understanding of the industry and its data needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data quality and automation.
