Quantitative Researcher

3 days ago


Singapore AlphaGrep Full time

Overview 0epsilon is building a best-in-class mid-frequency trading platform. Data powers everything we do and is a top priority. We are looking for an enthusiastic and talented Quantitative Researcher with a passion for developing a specialization in data 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 data ETL pipelines, cleaning, researching and maintaining features that power our machine learning algorithms for trading. Responsibilities Create robust data ETL pipelines that clean and process raw data Research and implement features that are consumed in a machine learning trading pipeline 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 a fast-paced, demanding startup-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 experience 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 #J-18808-Ljbffr



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