Head of Data and AI

QCP is Asia's leading digital asset partner, empowering clients to seamlessly integrate digital assets into their portfolios.

We offer a comprehensive range of solutions - from spot on/off ramping and fixed income strategies to vanilla options and bespoke exotics.

Driven by the vision to be the most trusted partner in digital asset markets, we provide innovative solutions that make digital assets a core component of every portfolio, balance sheet, and treasury.

Since our founding in 2017, we have witnessed the potential of digital assets to transform financial markets and the world at large. We exist at the centre of change, successfully navigating three market cycles and bridging institutional and crypto ecosystems.

Responsibilities:

• Drive and execute the company’s end-to-end data architecture and AI strategy, aligned with business and regulatory requirements.
• Build and lead a high-performing data engineering, analytics, and AI/ML team from the ground up.
• Architect and implement cloud-native data infrastructure on AWS, including data lakes, warehouses, pipelines, and model deployment workflows.
• Establish data governance, data quality, and security standards to ensure compliance and operational excellence.
• Collaborate and build alongside product, engineering, risk, and compliance teams to deliver scalable data solutions and AI-driven insights.
• Drive adoption of advanced analytics, ML models, and automation to improve decision-making and customer experience.
• Lead the design and maintenance of data pipelines using common industry tools such as Apache Airflow, AWS Step Functions, AWS Glue, dbt, Apache Spark/EMR, Kafka/Kinesis, and modern ETL/ELT platforms (e.g., Fivetran, Stitch).
• Oversee data extraction, cleaning, transformation, cataloging, and loading using tools such as AWS Glue DataBrew, AWS Lake Formation, AWS Glue Catalog, Delta Lake, Great Expectations, and Snowflake/Redshift utilities.
• Communicate strategies, progress, and outcomes clearly to executive stakeholders and the broader organization.
• Provide thought leadership on industry trends, AI capabilities, crypto-specific data needs, and best-practice engineering patterns.
• Mentor and develop team members, fostering a culture of technical excellence, accountability, and continuous improvement.