Job Application for Machine Learning Associate at Bracebridge Capital

Bracebridge Capital, LLC is a leading hedge fund manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors.

Approximately 160 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here.

We are currently seeking a Machine Learning Associate to join our growing data analytics and machine learning team. Our team focuses on creating algorithmic and machine learning solutions to open-ended problems with trading impact. The work is deeply collaborative with finance professionals and is an opportunity to explore applications of machine learning in total return portfolio management.

The primary responsibilities of this position will include working closely with Portfolio Managers to frame potential projects and understand trading needs. The ideal candidate will be dedicated to developing a deep understanding of quantitative and mathematical problems and proposing practical algorithmic solutions. Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in finance is essential, but prior experience is not necessary.

Responsibilities:

Partner with portfolio managers to identify and define projects with concrete impact
Lead and collaborate on research and data analytics projects within a team
Architect and build pragmatic, scalable and rigorously tested solutions for supervised machine learning and time series problems
Contribute to existing projects as well as train and deploy models for new initiatives
Work closely with research and data team members to develop end-to-end systems compatible with existing infrastructure
Research and keep up-to-date with machine learning trends and technologies and how they can be applied (LLMs, RAG pipelines, etc)

Qualifications:

Advanced Degree in a quantitative field such as Computer Science, Machine Learning, Mathematics, Statistics or a related Engineering Degree (PhD preferred).
Minimum of 1-3 years of experience in building and deploying models, developing algorithms for machine learning problems and analyzing data.
Strong quantitative, analytical, and communication skills
Experience in Python and familiarity with machine learning packages
Experience in manipulating and analyzing data from varying sources
Experience in time series analysis is a plus
Solution-oriented and intellectually curious with ability to tackle open-ended problems

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Bracebridge Capital’s policy is to provide equal opportunity for all applicants and employees without regard to race, color, religion/creed, sex (including pregnancy), national origin, ancestry, age, disability, sexual orientation, gender identity or transgender status, military or veteran’s status or any other basis protected by applicable federal, state, or local laws. In compliance with our federal government data collection and reporting requirements, we invite you to complete the optional voluntary self-identification survey below used for compliance with the government regulations and record keeping guidelines. Information provided is used only for government reporting purposes; it is not used in connection with any employment decisions or actions.

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Machine Learning Associate

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