My client is a centralised systematic hedge fund that adopts computer-driven trading strategies to invest across multiple liquid asset classes. They are hiring a Data Scientist for their data service group.

Responsibilities:

• Identify new datasets for analysis.
• Collaborate with vendors to understand dataset characteristics.
• Develop processes and technology tools to ingest, tag, and clean datasets.
• Analyze datasets to generate descriptive statistics and suggest potential applications.
• Research potential "alpha signals" for presentation to Portfolio Managers.
• Monitor and enhance the automated data collection and cleansing infrastructure.
• Explore new technologies for improved data management and efficient retrieval.

Qualifications:

• Ph.D. or MPhill in computer science, mathematics, physics, statistics, or another field involving rigorous quantitative analysis techniques.
• At least 1 year of experience as a Data Scientist, quantitative researcher, or in a similar role.
• Experience working with large datasets, including classification, regression, distribution analysis, and predictive modeling.
• Proficiency in applying statistical tests to large datasets.
• Programming skills in SQL, TSQL, SQL Server, or PL-SQL.
• Proficiency in Python and at least one of C#, C++, or Java.
• Financial industry experience is preferred but not required.
• Familiarity with intraday, tick, and order book data is a plus.
• Strong problem-solving skills.
• Intellectual curiosity and a passion for learning.
• Attention to detail and a commitment to process.
• Excellent oral and written communication skills.