Financial Technology AI Data Scientist

Role Overview

Collaborate with business teams to develop machine learning and deep learning models in response to financial scenario business needs.

What You Will Do

Develop machine learning and deep learning models, construct automated data processing workflows, deploy research results, and track accuracy and model validity.

Why It Might Be a Fit

Good learning ability, logical thinking, excellent communication and independent problem-solving skills, high stress tolerance, and experience in model development project management and execution.

Requirements

• At least 2 years of experience in developing machine learning/deep learning models with structured data.
• Familiarity with Python, SQL, and PySpark syntax, as well as data pipeline concepts.
• Passion for data analysis, data engineering, and machine thinking model development.
• Good learning ability, logical thinking, and excellent communication and independent problem-solving skills.
• High stress tolerance, able to smoothly present model project.
• Familiarity with graph theory and graph storage, with relevant experience preferred, and data competition experience given priority.
• Senior data scientists must have experience in model development project management and execution.