Responsibilities
- Extract useful information from raw data
- Build money making signals from the extracted information
- Adopt innovative technologies to data analysis and to the research process
- Work together with traders to monetize the signals.
- Manage and upgrade signals based on market environmental changes
Qualification
- Bachelor’s degree or higher from a leading university in a quantitative field including, but not limited to, Mathematics, Science, Engineering, Financial Engineering and etc.
- Proficiency in C++ and Python or in other programming languages
- Excellent analytic skills with relentlessness in finding gems out of the vast amounts of data
- Prior experience in finance is not required but one must possess an eagerness to learn about finance and global financial market
- Scientist-like mindset
- Strong proficiency in English
- Open to working abroad
Preferred
- Interest and personal participation in financial markets
- Excellent academic achievement
- Thoughtful, warm hearted, and collaborative
- Korean language skill in conversational level
Hiring process
- Resume review
- Online coding and mathematics test
- 1st round interview
- 2nd round interview
Skills Required
- Bachelor's degree or higher in a quantitative field
- Proficiency in C++ and Python or other programming languages
- Excellent analytic skills
- Strong proficiency in English
What We Do
Presto is an algorithmic trading and financial services firm built on a foundation of quantitative research and engineering. Our core strength lies in combining engineering, mathematics, and science to navigate both digital asset and traditional finance markets with precision. Executing over 100 million trades daily, Presto has earned its position as a major player in the financial services sector. We offer liquidity provision and over-the-counter (OTC) execution services for blockchain projects, delivering consistent value to our clients across varying market conditions. By leveraging multidisciplinary expertise, we continue to evolve our strategies and technologies to stay ahead in the dynamic global financial markets. Our approach blends the rigor of quantitative analysis with the creativity of scientific inquiry, allowing us to address complex challenges across both digital and traditional finance markets.
