Job Description

About HBK

HBK Capital Management is an alternative investment firm currently managing approximately $9 billion in assets. The firm was founded in 1991 and employs approximately 200 individuals in Dallas, New York, and London. Among the top-rated and longest-tenured hedge funds in the world, we have a refreshingly transparent and team-focused culture, low turnover, and a fun work environment. Exceptional people have always been central to the firm's success, and we strive to hire the best and brightest individuals in all areas of our organization.

HBK is seeking a highly motivated recent graduate or graduating senior to join the firm in a newly created AI-focused internship. This individual will work closely with the team member dedicated to optimizing and expanding the use of Artificial Intelligence across the firm. This role will serve as a critical bridge between end users and technical development teams, helping facilitate, coordinate, and maintain AI rollouts across the organization. The position combines technical fluency, project management, and cross-functional collaboration to ensure AI tools are effectively implemented, adopted, and continuously improved. This is a unique opportunity for an early-career professional to play a meaningful role in shaping how a global investment firm integrates AI into its investment and business processes.

Responsibilities

• Partner with HBK’s AI teams to coordinate and support the rollout of AI tools and initiatives across investment and operational teams
• Serve as a liaison between end users (portfolio managers, analysts, operations teams, etc.) and developers to translate business needs into technical requirements
• Help manage AI-related projects from ideation through implementation, including tracking milestones, gathering feedback, and ensuring timely delivery
• Proactively surface emerging AI tools and vendors for evaluation, assist in scoping proof-of-concept pilots, and document findings and recommendations to inform the firm’s tool selection process
• Assist in testing, documentation, and refinement of new AI tools and workflows
• Facilitate training sessions and support user adoption across teams
• Stay informed on developments in AI and identify opportunities to enhance internal capabilities
• Curate and maintain a knowledge base of AI tools — both internal and external — including documentation, use-case guidance, and evaluation notes to support firm-wide discoverability and adoption
• Develop and deliver internal AI training content — including demos, tutorials, and written materials — designed to expose operational and investment users to available tools and practical applications
• Track, refresh, and enhance AI adoption statistics across the firm, producing regular analyses and dashboards that surface insights on tool utilization, user engagement, and adoption trends

Job Requirements

• Undergraduate or Master’s degree in Computer Science, Mathematics, Finance, or a related field with a minimum 3.5 GPA
• Demonstrated interest in Artificial Intelligence through coursework, research, internships, or personal projects
• 1-2 years of demonstrated programming experience in course work and prior internships (Python preferred); candidates from non-CS backgrounds must show a clear track record of applied programming
• Experience working with AI/ML tools, large language models, and automation platforms
• Strong analytical and problem-solving skills

Success Factors & Personal Attributes

• Intellectual curiosity and enthusiasm for emerging technologies
• This position will require interactions with all levels of the firm and will require strong communication skills
• Strong organizational skills and an interest in project management
• Ability to manage multiple priorities in a fast-paced, collaborative environment
• Detail-oriented with strong follow-through
• Proactive, self-directed, and comfortable taking ownership
• Exposure to software development processes or working alongside developers
• Interest in financial markets or investment management
• Comfort operating in a cross-functional, highly collaborative environment
• Humility and willingness to ask questions and seek feedback