Quantitative Researcher

AlphaGrep; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

An innovative firm is seeking a passionate Quantitative Researcher to join their dynamic team. This exciting role involves developing and maintaining machine learning algorithms for trading, where you'll thrive in a fast-paced environment and contribute to a cutting-edge mid-frequency trading platform. Ideal candidates will have strong expertise in Python and Cython, and a solid understanding of machine learning and financial markets. Join a collaborative team that values innovation and offers a unique opportunity to shape the future of trading technology. If you're ready to take on challenges and make an impact, this is the perfect role for you.

Qualifications

• Proficient in machine learning and deep learning architectures.
• Strong experience in Python and Cython for trading algorithms.

Responsibilities

• Research and implement features for a machine learning trading pipeline.
• Write clean, well-documented code with appropriate test coverage.

Skills

Machine Learning

Python

Cython

Deep Learning

SQL

Polars

Tools

Postgres

ClickHouse

Job description

About AlphaVerse

The AlphaVerse team is responsible for putting together a best-in-class mid-frequency trading and crowdsourcing platform where anybody can contribute signals and is rewarded for their innovations. We are looking for an enthusiastic and talented Quantitative Researcher to join our team. The ideal candidate thrives in ambiguous, fast-paced environments, is excited about building products from the ground up, has strong experience and proficiency in Python and Cython, and will be responsible for developing and maintaining features and machine learning algorithms for trading.

Key Responsibilities

• Research and implement features that are consumed in a machine learning trading pipeline
• Research and implement large-scale machine learning algorithms using massive financial data
• Write clean, well-documented code with appropriate 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 as we scale
• Take ownership of smaller projects and features from design to deployment

Requirements

• Able to thrive in the crucible of an extremely fast-paced, demanding start-up-like 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 is a plus
• Experience with Cython in a performance-sensitive environment is a plus
• Some knowledge of financial markets and instruments is a plus

Seniority level

Entry level

Employment type

Full-time

Job function

Finance and Sales