Quantitative Researcher Intern

Job Description

AlphaVerse is seeking a Quantitative Researcher Intern to join their team in Singapore. The intern will contribute to a best-in-class mid-frequency trading and crowdsourcing platform, where individuals can contribute signals and be rewarded for their innovations. The ideal candidate will thrive in a fast-paced environment and possess strong skills in Python and Cython.

Responsibilities:

• Research and implement features for a machine learning trading pipeline.
• Research and implement large-scale machine learning algorithms using financial data.
• Write clean, well-documented code with test coverage.
• Assist in troubleshooting and debugging production issues.
• Be on-call on a rotating basis.
• Help establish engineering best practices and coding standards.
• Mentor future junior team members.
• Take ownership of projects from design to deployment.

Requirements:

• Ability to thrive in a fast-paced startup environment.
• Ability to bear responsibility for high-stakes production infrastructure.
• Proficiency in machine learning, with preference for deep-learning architectures.
• High proficiency in Python and proficiency in PyTorch and Polars.
• Experience with SQL-like databases (Postgres, ClickHouse) is a plus.
• Experience with Cython in a performance-sensitive environment is a plus.
• Some knowledge of financial markets and instruments is a plus.

What AlphaVerse Offers:

• Opportunity to work on a best-in-class mid-frequency trading platform.
• Exposure to machine learning and financial data.
• Mentorship opportunities.