Quantitative Developer

AlphaGrep Securities; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading trading technology firm in Singapore is seeking a talented Software Engineer. The ideal candidate will design and implement a best-in-class trading infrastructure, thrive in a fast-paced environment, and possess strong skills in Python, Cython, and machine learning. Key responsibilities include coding, troubleshooting, and mentoring. This position offers the opportunity to work on innovative projects and grow within a dynamic team.

Qualifications

• Strong experience and proficiency in Python and Cython.
• Able to thrive in a fast-paced, start-up-like environment.
• Familiarity with machine learning and deep-learning architectures.

Responsibilities

• Design and implement trading infrastructure from scratch.
• Collaborate with stakeholders for technical requirements.
• Write clean, well-documented code with test coverage.

Skills

Python

Cython

Machine Learning

Deep Learning

Postgres

Clickhouse

Pytorch

Polars

Job description

The 0epsilon team is responsible for putting together a best-in-class mid-frequency trading platform. We are looking for an enthusiastic and talented Software Engineer 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 our trading infrastructure.

Key Responsibilities

• Participate in the design and implementation of our trading infrastructure from scratch
• Collaborate with stakeholders to define technical requirements and architectural decisions
• Write clean, well-documented code with appropriate test coverage
• Participate in code reviews and contribute to technical documentation
• 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

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