Lead Data Analyst - Quant Hedge Fund

Lead Data Analyst sought to join a small but exceptional Systematic Investment firm (Mid-Frequency Quant Hedge Fund), as they transform the way the use 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 with 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.
• 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 teams 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.