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Quantitative Analyst
1 month ago
Key Responsibilities:
Sourcing, processing, and aggregating tick data, order data, and execution data from various sources, including Bloomberg, Reuters, OneTick, internal databases, vendors, and more.
Managing large datasets, currently organized as flat files and data objects, to drive publications and execution analysis for clients.
Building, organizing, maintaining, and enhancing the group's infrastructure in R, including data processing and data mining.
Producing graphics and interactive exhibits using ggplot and Quarto in R, as well as generating periodic and ad-hoc publications for sales traders and clients.
Providing consultancy services to internal and external clients, actively contributing to the brand and the group's publications on market microstructure, index events, and optimal execution.
Requirements:
- Strong programming skills with demonstrable experience in R or Python.
- Ability to work with large datasets involving millions of observations.
- Basic knowledge of SQL or a similar query language.
- Strong oral and written communication skills for client interaction.
- Statistical modeling skills.
- Ability to organize data in simple databases.
- Advanced knowledge of Excel and shell scripting.
- Working knowledge of finance and equities trading.
- Engineering degree and 5 years of professional experience in equity quantitative analysis or big data analysis with hands-on experience in R or Python.