Consultant - AI Research for Hedge Fund/Family Office Consulting

Join our experienced roster of consultants that support Hedge Funds and Family Offices.   Arootah is a personal and professional development leader in the Investment and Financial Services industry.  Our mission is to provide top business advisory services to our hedge fund client base.   Our Business Advisory Services focuses on the multi-faceted needs of Hedge Funds and Family Offices.   Arootah was founded by Rich Bello, the Co-Founder and COO of the industry-leading $10 billion hedge fund, Blue Ridge Capital. Rich brings more than 30 years of experience, including leadership positions at Morgan Stanley, Tiger Management, and Ernst & Young.  Visit us at https://arootah.com/hedge-fund-advisory/ for more information. 

What You'll Do

• Provide advice and guidance to Arootah clients who seek help with their Cybersecurity needs. This will involve consulting to some of the leading Hedge Funds and Family Offices in the world and sharing your experience as a Chief Information Security Officer in helping clients to: 
• Develop realistic and effective monthly action plans. 
• Identify internal and contextual roadblocks.  
• Break apart goals into actionable steps.  
• Devise a plan of action for each goal. 
• Provide the client with resources associated with implementing their action plan. 
• Implement policies, procedures, and control measures.  
• Review, analyze and report on client tools and resources to ensure industry best practices.   
• Evaluate each client’s advancement toward goal actualization through key performance indicators (KPIs) and scoring matrices.  
• Maintain and share detailed and accurate records of consulting results (challenges, breakthroughs, etc.).  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, NLP, or a related field. 
• Strong experience with LLMs (e.g., GPT, BERT, T5), NLP frameworks (Transformers, spaCy, Hugging Face), and prompt engineering techniques. 
• Proficiency in Python and deep learning libraries such as TensorFlow or PyTorch is a plus. 
• Practical experience deploying and scaling language model agents, ideally in a production environment. 
• Knowledge of MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes). 
• Strong problem-solving skills, with an ability to work cross-functionally and communicate effectively with technical and non-technical stakeholders. 

PERKS WITH US:  Work for a well-funded disruptor in the finance, wellness, and technology space.  Culture of inspired continuous improvement in all areas of business and life.  Autonomy in your work.  The ability to work remote.  Flexible hours  Access to our Digital Wellness Center, including past webinars, seminar videos, and workbooks