A reputable Systematic Hedge Fund with excellent returns is looking to hire a Data Analytics Engineers to join its new Data Analytics Team. Currently made up of 8 people, the team is looking to grow to 15 in the next 18 months.

Our client has a flat structured, transparent and collaborative environment. You will have plenty of opportunity to grow and have an important impact on the business and PnL.

Responsibilities:

• Test and evaluate new alternative datasets in collaboration with quant researchers and data teams
• Use machine learning and statistical methods to automate the extraction of predictive features
• Manage the full lifecycle of data science projects including Data acquisition/exploration/engineering, prototyping and production
• Operate a wide array of methods, including unsupervised, supervised, learning, natural language processing (NLP), anomaly detection etc
• Work in collaboration with data engineers, quantitative researchers to help build and architect the systems

Requirements:

• Strong programming skills with Python (including scientific libraries like Pandas)
• Interest in financial markets, data analysis and programming
• Experience with data science / data manipulation
• Structured and unstructured data management experience
• Excellent communication skills
• Strong education background in STEM

We will respond to all successful candidates shortlisted for this opportunity within 2 days and would advise all candidates to follow our LinkedIn company page for all the latest opportunities.