AI Engineer - Fintech - Remote Eligible

AI Engineer

This is a remote position.

We are seeking an experienced AI Engineer with a strong fintech and quantitative research background to design, develop, and deploy advanced AI-driven solutions for our crypto trading operations. The ideal candidate will have a proven track record in machine learning, trading technology, and quantitative modeling, and will play a pivotal role in building robust, scalable systems that drive trading and investment decisions.

Key Responsibilities

• Lead the design, implementation, and deployment of AI/ML models to analyze large-scale blockchain and market data, enhancing trading strategies and risk management.

• Collaborate with quantitative researchers, traders, and software engineers to integrate AI models into live trading systems, ensuring optimal performance and reliability.

• Develop, automate, and maintain data pipelines and machine learning workflows for real-time and historical data analysis.

• Research and prototype new market-neutral strategies, leveraging statistical and machine learning techniques to identify alpha opportunities in digital asset markets.

• Contribute to the development of compliance, risk, and anti-money laundering (AML) systems using AI and data-driven approaches.

• Stay abreast of the latest advancements in AI, blockchain, and fintech, and proactively apply innovative solutions to complex trading challenges.

• Mentor junior engineers and foster best practices in AI/ML development within the team.

• Ensure all AI solutions comply with relevant Cayman Islands data privacy, AML, and financial regulations, and work closely with compliance teams to assess and mitigate AI-related risks.

Requirements

• Master’s or Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field with specialization in AI, Machine Learning, or Quantitative Finance.

• 5+ years of experience in AI/ML engineering, quantitative research, or trading technology, preferably in fintech or digital asset trading environments.

• Advanced proficiency in Python, R, and quantitative modeling; experience with C++ and cloud platforms (e.g., AWS, GCP, or Azure) is a plus.

• Demonstrated experience developing, deploying, and maintaining machine learning models in production trading systems.

• Strong understanding of blockchain data, digital asset markets, and market-neutral trading strategies.

• Excellent problem-solving skills, with the ability to design and implement innovative, data-driven solutions to complex trading and operational challenges.

• Effective communicator and collaborative team player, able to work cross-functionally with traders, quants, engineers, and compliance professionals.

• Technical writing skills and experience documenting models, systems, and research findings for internal and regulatory purposes.

Preferred Experience

• Prior experience in a crypto trading firm, hedge fund, or high-frequency trading environment.

• Familiarity with Cayman Islands fintech regulations, data privacy, and AML/CTF compliance requirements.

• Experience with cloud-based data infrastructure and distributed systems for large-scale data processing.

Benefits

• Competitive compensation package, including performance-based bonuses and potential equity participation.

• Opportunity to work at the forefront of AI and quantitative research in one of the world’s leading crypto trading hubs.

• Collaborative, high-performance team culture with a focus on innovation, continuous learning, and professional growth.

• Flexible work arrangements in a dynamic, fast-paced environment.