Quantitative Trading Intern - Iridium

AlphaGrep is seeking exceptional 1st/2nd-year Master students to join the firm as a Quantitative Trading Analyst Intern at the Shanghai Office.

Our traders execute high frequency algorithmic strategies to capitalize on trading opportunities. As a Quant Trading Trainee, you will apply sophisticated quantitative modeling techniques to predict market behavior and write advanced code to grow our business. The internship will be requested to come to the office at least 3 days per week and is aimed to result in a full- time position after the student graduates.

Your responsibilities may include any of the following:

• Designing and deploying trading strategies

• Exploring trading ideas by analyzing financial data and market microstructure for patterns

• Perform post-trade analysis

• Work with senior traders to acquire in-depth knowledge of financial markets, modeling, and risk management

Qualifications

AlphaGrep encourages students from Top Engineering Universities to apply.

Additional requirements include:

• Brilliant problem-solving abilities
• Experience with data analysis, market research, and quantitative modeling
• A passion for financial markets and new technologies
• Programming experience as demonstrated through course work, research projects, or open source activities, preferably in Python
• The ability to manage multiple tasks in a fast-paced environment
• Strong communication skills in Mandarin and English.

About AlphaGrep Securities

AlphaGrep is a quantitative trading firm focused on algorithmic trading in various asset classes across the globe. We are a team of 350+ members spread across offices in Europe, Asia, and North America.

We use a disciplined and systematic approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary, ultra-low latency systems and robust risk management to develop trading strategies on global exchanges, across various asset classes including equities, options, commodities, currencies, fixed income, and digital assets.