Log In
Sign Up
All Firm Types / Hedge Fund
AI Solutions Lead NEW
Multi-Strategy / Multi-Manager hedge fund is seeking an AI Solutions Lead to design and deliver AI-enabled solutions that improve middle and back-office workflows (for example, trade reconciliation, reporting, and compliance checks). This person will lead the evaluation, piloting, and rollout of AI capabilities that drive operational impact with work that will directly impact operational efficiency and control, without direct involvement in investment processes.
Responsibilities
- Own AI solution delivery end-to-end: discovery, requirements, tool selection, proof-of-value pilots, implementation, rollout, and ongoing support.
- Design middle and back-office workflows using AI techniques to facilitate automation and efficiency.
- Evaluate and recommend AI tools and platforms aligned with firm priorities, including build vs. buy decisions, and lead their secure integration into existing systems.
- Design and build practical AI capabilities where appropriate, such as enterprise search/Q&A over internal knowledge and workflow agents grounded in firm data and controls.
- Engineer data and application integrations with Snowflake, Databricks, and APIs/services to deliver reliable, auditable solutions.
- Contribute to AI evaluation frameworks: Partner with cross-functional teams to help shape success metrics, assess test quality, monitor performance and cost, track changes over time, incorporate user feedback, maintain clear version history, and support low-risk rollout patterns. Partner with infrastructure and development engineers to ensure solutions built meet standards for scalability, security, observability, and cost/performance.
- Support adoption and change management for AI rollouts: Collaborate with stakeholders on readiness assessments, communications, and user enablement to help ensure smooth transitions.
- Champion AI governance and responsible-use practices alongside Cybersecurity: Partner to help uphold data stewardship, vendor/tool risk review, access controls, privacy/PII handling, auditability, and policy-aligned usage appropriate to the current environment.
- Track value realization post-deployment, including usage, time saved, error reduction, and control improvements, and continuously prioritize improvements based on impact.
- Communicate clearly with stakeholders: translate business needs into a technical approach, set expectations, and explain tradeoffs to non-technical audiences.
- Stay current on AI advancements and strategically apply them to improve operations.
- Own AI development tooling and platform operations: evaluate and pilot tools such as GitHub, Copilot, and Cursor, stay abreast of current trends, establish usage standards and best practices, and manage access, usage reporting, and billing/cost controls.
- Enable developers to use LLMs effectively for coding tasks well-suited for AI assistance: training, prompt patterns, and practical guidance.
Required Qualifications
- Bachelor’s or higher in Computer Science, Data Science, Machine Learning, or a related field, or equivalent experience.
- 6-8 years in software engineering, data engineering, and/or workflow automation, plus 1–3+ years delivering AI solutions using LLMs into production.
- Financial services / hedge fund operations familiarity in middle and back-office
- Strong Python engineering skills, including data processing and service/integration development.
- Experience with SQL, Snowflake, Databricks, and data warehousing, including pipeline development, job orchestration, and production operations.
- Production deployment experience in partnership with infrastructure and development teams, including security, logging/monitoring, and CI/CD.
- Excellent communication and stakeholder management skills; able to explain complex concepts simply and drive alignment.
- Strong problem-solving skills and the ability to work independently and collaboratively.
Preferred Qualifications
- Familiarity with emerging agentic AI patterns, including multi-agent systems, tool integration, and long-running workflows, with the ability to translate these into scalable enterprise solutions.
- Experience with governance and risk controls for AI, including privacy, PII handling, vendor risk, and auditability.
- Experience building LLM-enabled applications, such as knowledge search/Q&A with retrieval, and setting up evaluation/testing to measure quality, reliability, and safety.
Post ID: 00114
Oban Cooper
Director of Prop Trading & Technology Recruitment
Oban is the Director of Prop Trading & Technology Recruitment, joining Banyak Group in 2022. He is responsible for leading retained search practices for Prop Trading Firms, Crypto Trading Firms, and Market Makers, while cross-functionally working with Hedge Funds, Asset Managers, and Family Offices. Additionally, he operates as a software developer building proprietary tools and infrastructure to optimize our recruitment efficiency.
Prior to joining Banyak Group, Oban was a licensed Private Investigator in the State of Florida with one of the world’s largest full-service investigation firms, CoventBridge Group. He has also held positions in sales, web design, and customer service, and spent most of his early career as an entrepreneur in Ecommerce.
Oban holds a Masters in Public Administration, a Masters in Criminal Justice, and a Bachelors in Criminal Justice, all from the University of Central Florida. He prides himself on being a versatile talent and a curious mind. Oban currently resides in Orlando, FL, with dreams of owning a farm.
D. Alexander Gannes
Founder & Managing Principal
Alex is a Senior Retained Search Consultant and Advisor within the Investment Management Industry. He founded Banyak Group, a Retained Search, Consultancy, and Advisory firm to provide human capital management leadership to Hedge Funds, Asset Managers, Family Offices, Private Equity Funds, Venture Capital Funds, FinTech firms, Investment Banks, Market Makers, and Blockchain Technology companies. An expert in his field, Alex also serves as an advisor, coach, and mentor to those launching and scaling investment firms as well as those navigating their professional careers.
Prior to founding Banyak Group, Alex was a Senior Search Consultant and Head of the Quantitative Strategies and Risk Management Practice as well as the Director of Research with retained search firm, Bay Street Advisors. He began his career in executive search and recruitment with Strategic Workforce Solutions as a specialist to the investment management and investment banking industries.
Alex is a proud Michigan State University Eli Broad College of Business alumni, has an adventurous spirit, and is an avid world traveler. He is bi-coastal and resides in Laguna Beach, California with his family.
Lindsay Daher
Executive Assistant and Recruitment Coordinator
Lindsay is an Executive Assistant and Recruitment Coordinator, joining Banyak Group in 2022. As Recruitment Coordinator, she supports research and sourcing efforts and serves as the key point of contact across Banyak Group’s book of business. As Executive Assistant to the Managing Principal, Lindsay identifies, implements, manages, and enhances the firm’s operational processes and systems.
Prior to joining Banyak Group, Lindsay was an admin for a private medical practice and a researcher performing pre-employment background checks. With administrative experience exclusively supporting small businesses, she possesses a deep understanding in establishing trust and applying exceptional standards of service.
Lindsay discovered her aptitude for office management while completing her dual Bachelor degrees in International Security & Diplomacy and History at the University of North Texas. She is an outdoors enthusiast and avid astrophile. She is a South Florida native currently residing in Fort Lauderdale, FL.