Job Description
You may have opportunity to be part of some exciting AI applications projects
Credit Scoring: Using historical data to predict the creditworthiness of individuals or businesses.
Fraud Detection: Identifying unusual patterns that may indicate fraudulent activity.
Algorithmic Trading: Developing models to predict stock prices and execute trades at optimal times.
Risk Management: Assessing and managing the risks associated with different financial instruments.
Customer Segmentation: Analyzing customer data to identify distinct segments and tailor financial products to them.
Apply machine learning and neural network techniques to develop large financial models.
Implement quantitative model algorithms in statistics, econometrics, and machine learning.
Conduct research on machine learning and reinforcement learning theories and apply them to business requirements.
Requirements
Master’s degree or higher in Computer Science, Artificial Intelligence, Finance, or a related field.
Strong knowledge in machine learning and reinforcement learning algorithms.
Practical experience in machine learning and reinforcement learning, with the ability to conduct independent research.
Excellent coding skills, understanding of data structures and algorithms, proficient in C/C++ or Python.
Familiarity with financial knowledge and experience with model training algorithms like RNN and CNN is a plus.
Strong problem-solving abilities, able to address complex technical issues quickly.
Experience with large AI models is a plus.