Intern, Data & AI (Jul - Dec 2026) job opportunity at QCP.

Home Jobs In Singapore Tag: Data & AI (Jul - Dec 2026) Intern, Data & AI (Jul - Dec 2026) position at QCP


Date2026-04-27T09:01:25.960Z bot
QCP Intern, Data & AI (Jul - Dec 2026)
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Data & AI (Jul - Dec 2026)

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degreeGeneral
loacation Singapore, Singapore
loacation Singapore....Singapore
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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. We work to build trusted partnerships, putting client success and care at the heart of everything that we do. Responsibilities Collaborate with business teams to identify repetitive or manual workflows and prototype automation solutions using AI tools such as ChatGPT/Claude (via App UI or API) and/or other automation platforms (e.g. n8n) Work closely with business teams to gather reporting requirements and assist in designing dashboards and reports using tools such as Metabase or Streamlit Support the development and maintenance of QCP's data warehouse on AWS Redshift, including data ingestion, transformation, and data pipeline management Support AI adoption across QCP by developing learning materials (guides, tip sheets, tutorials) and sharing bite-sized AI insights and use cases on internal Slack channels Currently pursuing a degree in Data Science, Computer Science, Information Systems, Statistics, or a related quantitative field Familiarity with Python or R through coursework or personal/academic projects Exposure to SQL and working with cloud services (experience with AWS a plus) Some experience or interest in data visualisation or BI tools (e.g. Metabase, Streamlit, Tableau) Familiarity with AI tools such as ChatGPT or Claude, whether through coursework, personal projects, or day-to-day use Basic familiarity with Git or version control Strong communication skills with the ability to explain technical concepts to non-technical audiences Comfortable working cross-functionally and engaging directly with business stakeholders

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