ABOUT EXODUSPOINT

ExodusPoint Capital, founded in 2017 by Michael Gelband and Hyung Lee, began managing investor capital in 2018. The firm employs a global multi-strategy investment approach, seeking to deliver compelling asymmetric returns by combining complementary liquid strategies managed by experienced investment professionals within a robust risk framework. With a global headcount of over 600 employees and AUM of $13.5B, ExodusPoint brings together an accomplished team with hands-on experience running multi-manager businesses to create an institutional investment management firm. 

OVERVIEW OF THE JOB DESCRIPTION

We are looking for motivated technologists who want to directly contribute to our business. Candidates should have an interest in financial services, strong object-oriented programming knowledge in Python, and solid critical thinking ability. Our teams work collaboratively, so we are looking for candidates who can demonstrate excellent teamwork and communication abilities.

Responsibilities:

• Automation, Data ETL, and customized reporting
• Sustainably Engineer: develop, and support solutions that are highly available, scalable, and resilient that are monitored from end to end
• Work with a broad set of third-party services and develop integrations that will enable efficiencies for the business across platforms
• Work with key stakeholders to understand business requirements and develop solutions to meet those needs with the end user experience as a focus

Qualifications:

• Bachelor’s degree or working toward a Master’s degree in Computer Science or related field
• On track for a minimum 2:1 degree classification (or equivalent)
• Strong Object-Oriented Programming skills in Python
• Demonstrate capacity for innovative thinking and strong problem solving
• Demonstrate effective communication and interpersonal skills with the ability to interact with a variety of people
• Demonstrate integrity and ethics by earning other’s trust and respect through consistent honesty and professionalism in all interactions
• Display clear motivation for exploring a Technology career within financial services
• Display evidence of strong teamwork, leadership and the ability to work in a fast-paced environment
• Fluency in written and spoken English is a pre-requisite
• Show demonstrable evidence of self-learning outside of studies, and efforts to advance technical skills
• Knowledge and Experience in Agile Methodology (is a plus)
• Knowledge and Experience in Data Engineering and Analytics (is a plus)
• Knowledge and Experience in Machine Learning & Natural Language Processing (is a plus)