AI Product Intern

About the company

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.

With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, and more.

We are looking for a Product Manager Intern who is passionate about financial markets and possesses a solid foundation in AI technologies or quantitative analysis. This role offers the opportunity for full-time conversion based on performance.

Key Responsibilities

Requirement Research & Definition:

Conduct in-depth research into how traders and analysts apply AI Agents and large language models (LLMs) in quantitative trading across asset classes such as FX, gold, and silver.

AI Use Case Implementation:

Take ownership of prompt engineering optimization and workflow design for AI trading assistants on the trading platform, ensuring professional-level responses and strong financial logic accuracy.

Strategy Productization:

Participate in macroeconomic indicator backtesting projects (e.g., CPI, NFP, PCE). Translate complex quantitative backtesting results into intuitive, user-friendly, and visualized product features.

Qualifications

Educational Background:

Major in Financial Engineering, Computer Science, Mathematics, Economics, or related fields. Strong sensitivity to and interest in financial markets.

AI Product Sense:

Hands-on experience with AI-native applications (e.g., ChatGPT, Perplexity). Strong understanding of LLM capabilities, limitations, and practical applications in financial scenarios (such as RAG systems and Agent architectures).

Analytical Thinking:

Strong logical and analytical skills, with the ability to break down ambiguous trading requirements into executable product prototypes or logical workflows.

Preferred Qualifications:

Experience in quantitative strategy backtesting and familiarity with derivatives trading processes.

Understanding of how to leverage social media sentiment or macroeconomic data for market analysis.