Quantitative Research Engineer

Ephod Technology is a FinTech startup focus on helping global money managers to make better decisions with the help of quantitative analysis.The investment research industry is heavily manpower dominated. Industry research reports, company financial models and trading strategies are mostly analyzed by human. In EphodTech, we work together as a team to disrupt the industry to modernize the decision making process of money management.

We are now working with fund managers in Hong Kong, Mainland China, and Taiwan for building our MVP product. We are now building a core engineering team to accelerate our development process.

Your Responsibilities:

• Identify valuable data sources, and analyze the trends and patterns to exploit market inefficiencies
• Present information using data visualization techniques
• Build predictive trading signal models with machine learning algorithms

• Bachelor or higher degree from a leading university in a highly analytical field (i.e. Computer Science, Financial Engineering, Mathematics, Electrical Engineering, Physics)
• Have a strong interest in learning about worldwide financial markets in a quantitative way
• Knowledge of statistical and machine learning frameworks (e.g. Python, R, Pandas, TensorFlow, Scikit, Pytorch)
• Trading or finance working experience is a plus