Company
Onyx Capital APAC Pte Ltd
onyxcapitalapac.com
Designation
Quant Analyst Internship
Date Listed
27 Mar 2025
Job Type
Entry Level / Junior Executive
Free/ProjIntern/TS
Job Period
Flexible Start, For At Least 3 Months
Profession
Others / General Work
Industry
Others
Location Name
2 Central Boulevard, Singapore
Address
2 Central Blvd, Singapore 018916
Map
Allowance / Remuneration
$1,500 monthly
Company Profile
About Us
Onyx Capital APAC is a leading oil derivatives trading firm, specializing in providing liquidity and innovative trading strategies in global commodity markets. We are seeking a Quant Analyst Intern to join our team for a 3-month internship, where you will gain hands-on experience in quantitative analysis, modelling, and financial markets.
This is a highly selective 3-6 month internship designed to provide deep exposure. While there is no guaranteed conversion, top-performing interns may be considered for future opportunities.
Job Description
What You’ll Do
- Develop automation tools to improve efficiency and streamline workflows.
- Process and analyse large datasets to support trading and risk management decisions.
- Assist in back testing and optimizing trading models and strategies.
- Provide quantitative insights on market trends, volatility, and risk assessment in collaboration with traders.
- Conduct research on market behaviour, liquidity patterns, and statistical correlations.
- Support projects involving machine learning, predictive analytics, and process automation.
- Perform ad-hoc tasks as required, contributing to various quantitative and operational initiatives.
What We’re Looking For
- Currently pursuing a degree in Mathematics, Statistics, Computer Science, Finance, Engineering, or a related field.
- Strong analytical skills with a solid foundation in probability, statistics, and data analysis.
- Proficiency in Python is required.
- Keen interest in financial markets, trading, and quantitative finance.
- Ability to thrive in a fast-paced, dynamic environment.
- Strong problem-solving mindset and attention to detail.
- Familiarity with LLM tools, unstructured database or OOP is highly preferred.
- Prior experience in designing full-stack trading strategies, particularly CTA models, is a plus.
- Prior experience in software engineering development is a plus.
Application Instructions
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