Biomedical Scientist jobs in Singapore
R&D Lab Scientist: Trace-Analysis & Filtration
Pall Corporation
PhD Research Associate (Industry PhD Program) - Artificial Intelligence, SAP Labs Singapore
SAP Belgium NV/SA
PhD Research Associate (Industry PhD Program) - Artificial Intelligence, SAP Labs Singapore
SAP SE
Discover more opportunities than anywhere else. Find more jobs nowMolecular Biology Scientist for NPI Development & Data
ThermoFisher Scientific
Connect with headhunters to apply for similar jobsMedical Laboratory Technologist / Sr Medical Laboratory Scientist (QC), NCIS(8282)
NATIONAL UNIVERSITY HOSPITAL (SINGAPORE) PTE LTD
Medical Laboratory Technologist / Sr Medical Laboratory Scientist (QC), NCIS
National University Polyclinics
Senior QC Medical Laboratory Scientist – Stem Cell Therapy
National University Polyclinics
Quantitative Researcher
GRASSHOPPER ASSET MANAGEMENT PTE. LTD.
Data Scientist (AI Lab) (1-year Contract)
PRUDENTIAL ASSURANCE COMPANY SINGAPORE (PTE) LIMITED
Research Associate (Allergy & Immunology - Paediatrics)
NATIONAL UNIVERSITY OF SINGAPORE
Scientist / Senior Scientist, Cybersecurity, I2R
A*STAR RESEARCH ENTITIES
Research Associate (Faculty of Law-CBFL)
NATIONAL UNIVERSITY OF SINGAPORE
Quant Researcher
GOLDEN HORSE FUND MANAGEMENT PTE. LTD.
Crypto Quant Researcher: ML Alpha Strategies
NOVA PROSPECT PTE. LTD.
Quantitative Researcher
Job summary
A tech-leading trading platform company in Singapore is seeking an enthusiastic Quantitative Researcher. You will develop data ETL pipelines and maintain features for machine learning algorithms. Candidates who thrive in fast-paced environments and possess strong Python skills are encouraged to apply. This is a full-time entry-level position, offering the opportunity to work on impactful projects and mentor junior team members.
Qualifications
- Proficient in Python and Cython for ETL processes.
- Experience in machine learning with a focus on deep learning.
- Familiarity with performance-sensitive environments.
Responsibilities
- Create robust data ETL pipelines.
- Research and implement machine learning features.
- Write clean, well-documented code.
- Assist in debugging production issues.
- Help establish engineering best practices.
- Mentor junior team members.
Skills
About 0epsilon. The 0epsilon team is responsible for putting together a best-in-class mid-frequency trading platform. Data powers everything that we do, and is of the utmost priority for us to do well. 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.
- 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
- 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
- Full-time
- Entry level
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.