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AlphaGrep

Quantitative Development Intern

Reposted 4 Days Ago
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In-Office
Singapore
Internship
In-Office
Singapore
Internship
Intern will develop and maintain trading infrastructure, code review, troubleshoot issues, mentor juniors, and ensure best practices.
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About 0epsilon

The 0epsilon team is responsible for putting together a best-in-class mid-frequency trading platform. We are looking for an enthusiastic and talented Quantitative Development Intern 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

Top Skills

Clickhouse
Cython
Polars
Postgres
Python
PyTorch
SQL

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