Trading Intern

at  QCP Capital

Established in 2017, QCP is one of the first digital asset trading firms in Singapore, with a vision to partner the next generation of investors to unlock institutional opportunities in digital assets.
QCP brings to clients deep expertise gained from thriving through multiple market cycles. A global market maker in digital asset derivatives with a vast network of liquidity providers and counterparties, we are shaping the future of digital asset markets through greater access and efficiency.
We offer a range of tailored derivatives and spot trading as well as structured solutions to institutional, professional and accredited investors. We also provide 24/7 liquidity across various markets in partnership with various exchanges and platforms.
QCP is headquartered in Singapore and is supported by a strong team of professionals in trading, business development, operations, risk and compliance teams.
Our in-house publications track the constantly evolving state of digital assets and markets, and can be accessed on our Telegram (t.me/QCPbroadcast), website (qcpgroup.com), Twitter (@qcpgroup) and LinkedIn.

REQUIREMENTS

• Strong passion for the financial markets including the ability to have intelligent conversations on current market trends
• Prior experience or coursework in finance, economics, or quantitative analysis is preferred but not required
• Strong Microsoft Excel skills
• Coding experience in Python in the context of statistical and data analysis is preferred
• Familiarity with Bloomberg and market data providers is a plus

We are looking for a Trading Intern to join the desk on a 6-month basis. Applicants looking for part time internships are welcome to apply.

Research Support:

• Conduct thorough research on global macroeconomic trends, financial markets, and specific asset classes, including cryptocurrencies.
• Update and improve existing trading and economic analytics and visualisation tools for desk use.
• Support the desk with writing daily market updates and prepare material for weekly trading and risk calls.

Trading Strategy Assistance:

• Collaborate with the trading team to assist in developing and back testing trading strategies.
• Conduct historical data analysis and assist in optimizing existing quantitative models.