Responsibilities:
- Integrate and onboard firmwide tools for the specific use cases of the trading team, ensuring seamless data flow and compatibility.
- Collaborate with quantitative researchers to assess data quality and identify areas for improvement, ensuring data meets the high standards required for trading strategies.
- Work with the central tech team to implement customizations and adjustments to the firmwide interface, aligning solutions with the trading teams requirements.
- Develop and maintain high-level machine learning APIs and research tools that scale to thousands of cores.
Requirements:
- 4+ years of experience working with large distributed systems in Python and C++ on a Linux platform.
- Experience working with large, out-of-core datasets.
- Strong foundation in linear algebra, probability, and statistics.
- Excellent communication and problem-solving skills.
- An interest in global financial markets.
- A Bachelors degree in Computer Science or a related field.
BAH Partners specialize in placing the leading technology and quantitative talent into Asia Pacifics premier financial and technology-driven organizations. If you would like more information, or to confidentially discuss your career options, please contact me at pascal.snelling@bahpartners.com.