As a Quantitative Researcher Intern at Aurelius Quant, you will have the opportunity to gain hands-on experience and contribute to our cutting-edge research in quantitative finance. Working closely with our team of experts, you will assist in research activities, data analysis, and the development of trading algorithms.
Responsibilities:
Collaborate with the research team to conduct quantitative analysis and develop statistical models for trading strategies.
Assist in data collection, cleaning, and preparation for analysis.
Conduct research on market trends, economic indicators, and other relevant factors impacting trading decisions.
Assist in back-testing trading strategies and analyzing performance metrics.
Contribute to the development of tools and frameworks to enhance research and analysis capabilities.
Qualifications and Skills:
Currently pursuing a degree in Engineering, Mathematics, Statistics, Econometrics, Computer Science, or a related field.
Strong analytical and problem-solving skills.
Proficiency in programming languages such as Python, R, or MATLAB.
Basic knowledge of statistics, probability, and financial concepts.
Excellent attention to detail and ability to work independently.
Strong communication and teamwork skills.
What You'll Gain:
Valuable hands-on experience in quantitative research and algorithmic trading.
Exposure to real-world financial data and trading strategies.
Mentorship and guidance from experienced professionals in the field.
Opportunity to contribute to innovative projects and research initiatives.
Insight into the dynamic and fast-paced world of quantitative finance.
How to Apply:
If you are passionate about quantitative finance and eager to gain practical experience in a dynamic trading environment, please apply directly for the position of Quantitative Researcher Intern using the provided application form. Submit your CV and a brief statement of interest.
Please note that this is an internship position, and applications must be submitted through the designated form and not via email.
We appreciate your interest in Aurelius Quant. We will review your application and contact potential candidates for further assessment and interviews.
