FAQs
What is the primary focus of the Machine Learning Associate role at Bracebridge Capital?
The primary focus of the Machine Learning Associate role is to create algorithmic and machine learning solutions to open-ended problems that have a trading impact, particularly in total return portfolio management.
What qualifications are necessary for this position?
An advanced degree in a quantitative field such as Computer Science, Machine Learning, Mathematics, Statistics, or a related Engineering Degree is required, with a PhD preferred. Additionally, 1-3 years of experience in building and deploying models, developing algorithms for machine learning, and analyzing data are necessary.
Is prior experience in finance required for this role?
No, prior experience in finance is not necessary, but an interest in finance is essential.
What programming languages and tools should candidates be familiar with?
Candidates should have experience in Python and familiarity with machine learning packages, as well as experience in manipulating and analyzing data from varying sources.
What types of projects will the Machine Learning Associate be working on?
The Machine Learning Associate will work on projects that involve collaborating with portfolio managers to identify impactful projects, leading research and data analytics projects, and developing scalable solutions for supervised machine learning and time series problems.
What kind of work environment can one expect at Bracebridge Capital?
Bracebridge Capital fosters an entrepreneurial and collaborative culture that rewards motivated, dedicated, enthusiastic, and intellectually curious individuals.
Will the Machine Learning Associate collaborate with individuals in other departments?
Yes, the Machine Learning Associate will work closely with portfolio managers, research teams, and trading floor personnel to assist in portfolio management decision-making.
What skills are essential for the Machine Learning Associate role?
Strong quantitative, analytical, and communication skills are essential, along with a solution-oriented mindset and intellectual curiosity for tackling open-ended problems.
Is experience in time series analysis important for the Machine Learning Associate position?
While experience in time series analysis is a plus, it is not a strict requirement for the position.
What opportunities for professional development exist within the role?
The role offers opportunities to research and stay updated on machine learning trends and technologies, collaborate with finance professionals, and contribute to innovative projects within the firm.