Introduction:

Our client is seeking a highly skilled and experienced Senior Data Scientist to join their team. This role involves utilizing AI technology to enhance and streamline operations.

The successful candidate will lead data analysis projects, develop machine learning models, and stay at the forefront of AI research and application.

About The Role:

As a Senior Data Scientist, you will play a critical role in improving business efficiency and sophistication through advanced data analysis and machine learning.

This position offers the opportunity to work on real-world data from one of the largest financial groups globally, with a flexible working environment that supports remote work and side projects.

You will collaborate with a diverse team and have access to cutting-edge technology and tools.

Responsibilities:

• Lead data analysis projects to solve business problems.

• Develop and implement machine learning models.

• Communicate analysis results to customers clearly and effectively.

• Investigate and research the latest AI technologies and their applications.

• Contribute to various projects, including market trend analysis, development of machine learning tools for market departments, construction of credit models using alternative data, and anti-money laundering (AML) analysis support.

Requirements:

• Strong knowledge of machine learning and deep learning.

• Proficient coding skills in Python or similar languages.

• Ability to explain complex data analysis results to customers in an understandable manner.

• Excellent teamwork and collaboration skills.

Preferred Skills:

• Business-level English writing, speaking, and communication skills.

• Experience in numerical analysis of financial market data.

• Experience with distributed processing technologies.

Why Apply:

• Engage in impactful data analysis with access to one of the largest datasets in the financial industry.

• Benefit from a highly flexible data analysis environment leveraging cloud technologies.

• Enjoy a flexible work style with options for remote work and side jobs, accommodating individual lifestyles.

• Join a team of experienced professionals from diverse backgrounds, supported by technical advisors active in their respective fields.

• Participate in a culture that values flexible work styles, active in-house study sessions, the adoption of new technologies, and generous support for human resource development.