AI Quant Program 2026
At UC Capital, we are building globally competitive quantitative talent through a deep understanding of markets and the disciplined application of technology.
Last year, UC Capital partnered with AWS to launch the first AI Quant Program, introducing participants to quantitative trading and the use of AI in financial markets. Several outstanding participants joined the team after the program.
At UC Capital, we focus on the practical value of AI in markets, developing trading strategies that can be systematically validated. In addition to AI engineers, the team includes AI factor researchers who focus on strategy research and validation.
This year, we are launching the second edition with a stronger emphasis on real-world application:
- Output-driven research: work on practical topics with market relevance
- Trading research in practice: focus on real trading scenarios rather than predefined problems
- First-hand market insights: sessions with market practitioners and industry experts on real-world applications of AI in finance
-
Develop an understanding of modern market structure and the core mechanics of equity trading.
-
Learn to interpret alpha factors through a quantitative framework, and identify potential opportunities from data.
-
Build and validate AI-driven trading models through backtesting, completing the full process from modeling to optimization.
-
Eligibility
- Current undergraduate or graduate students, or graduates within one year
- Basic knowledge of Machine Learning / Deep Learning is required; no prior finance background needed
- Strong interest in joining a top-tier financial trading team
- How to Apply
- Please click apply through https://reurl.cc/6Gj9zb. After review, shortlisted candidates will be contacted to confirm participation. Unsuccessful applicants will not be notified.
- Application Materials
- Portfolio and Personal statement: please explain why you are a suitable candidate
-
Application Period: April 15, 2026 until June 3, 2026, 14:00
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Internship Details |
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Internship Highlight |
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- Application Deadline: June 3, 2026 (Wed), 14:00
All application materials must be submitted before the deadline, including resume, portfolio, and personal statement.
- Selection Process: June 15, 2026 (Mon), 14:00 – 16:30 (Onsite Only)
Shortlisted candidates will be invited to participate in the selection session.
Unsuccessful applicants will not be notified.
- Results Announcement: By June 22, 2026 (Mon). Results will be communicated via email.
AI Quant Program
Last year, UC Capital partnered with AWS to launch the first AI Quant Program, introducing participants to quantitative trading and the use of AI in financial markets. Several outstanding participants joined the team after the program.
At UC Capital, we focus on the practical value of AI in markets, developing trading strategies that can be systematically validated. In addition to AI engineers, the team includes AI factor researchers who focus on strategy research and validation.
This year, we are launching the second edition with a stronger emphasis on real-world application:
- Output-driven research: work on practical topics with market relevance
- Trading research in practice: focus on real trading scenarios rather than predefined problems
- First-hand market insights: sessions with market practitioners and industry experts on real-world applications of AI in finance
-
Develop an understanding of modern market structure and the core mechanics of equity trading.
-
Learn to interpret alpha factors through a quantitative framework, and identify potential opportunities from data.
-
Build and validate AI-driven trading models through backtesting, completing the full process from modeling to optimization.
-
Eligibility
- Current undergraduate or graduate students, or graduates within one year
- Basic knowledge of Machine Learning / Deep Learning is required; no prior finance background needed
- Strong interest in joining a top-tier financial trading team
- How to Apply
- Please click apply through https://reurl.cc/6Gj9zb. After review, shortlisted candidates will be contacted to confirm participation. Unsuccessful applicants will not be notified.
- Application Materials
- Portfolio and Personal statement: please explain why you are a suitable candidate
-
Application Period: April 15, 2026 until June 3, 2026, 14:00
| Internship Details |
|
| Internship Highlights |
|
- Application Deadline: June 3, 2026 (Wed), 14:00
All application materials must be submitted before the deadline, including resume, portfolio, and personal statement.
- Selection Process: June 15, 2026 (Mon), 14:00 – 16:30 (Onsite Only)
Shortlisted candidates will be invited to participate in the selection session.
Unsuccessful applicants will not be notified.
- Results Announcement: By June 22, 2026 (Mon). Results will be communicated via email.