Quantitative Researcher at AlphaGrep Securities

AlphaVerse is seeking a Quantitative Researcher to join their team in Singapore. The successful candidate will be responsible for developing and maintaining features and machine learning algorithms for a best-in-class mid-frequency trading and crowdsourcing platform. This role requires a highly motivated individual who can thrive in a fast-paced startup environment and take ownership of projects from design to deployment.

Responsibilities include:

• Research and implement features for a machine learning trading pipeline
• Research and implement large-scale machine learning algorithms using massive 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 junior team members
• Take ownership of projects from design to deployment

Requirements:

• Able to thrive in a fast-paced, demanding start-up environment
• Able to bear immense responsibility for high-stakes, large-scale production infrastructure
• Highly proficient in machine learning, with preference towards deep-learning architectures
• High proficiency in Python and proficient in PyTorch and Polars
• Experience with SQL-like databases, such as Postgres and ClickHouse database
• Experience with Cython in a performance sensitive environment
• Some knowledge of financial markets and instruments