My client is a centralised systematic hedge fund that adopts computerdriven 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 PLSQL.
- 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 problemsolving skills.
- Intellectual curiosity and a passion for learning.
- Attention to detail and a commitment to process.
- Excellent oral and written communication skills.