Senior Data Scientist

Crédit Agricole Group; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

A leading financial institution is seeking an experienced professional to drive innovation through AI and machine learning in Singapore. This role involves developing sophisticated models to optimize capital market processes, collaborating with diverse teams to implement strategic insights and solutions. Ideal candidates should have a strong background in data science and a keen understanding of financial systems.

Qualifications

• Experience in developing machine learning and AI models.
• Strong understanding of data science and financial applications.
• Ability to work collaboratively in a technical and business context.

Responsibilities

• Design and develop applications for financial processes using AI.
• Collaborate with analysts and traders on AI-based solutions.
• Implement advanced machine learning models for business transformation.

Skills

Machine Learning

Deep Learning

Data Science

Artificial Intelligence

Predictive Modeling

Education

Degree in Computer Science, Engineering or equivalent

Job description

• Responsible for the design, development, maintenance of applications and systems as well as IT production and management of the Bank's technical infrastructures.
• At the forefront of technological innovation, its teams provide technical and functional support for the development activities and projects of the various Corporate and Investment Banking professions in an international environment.
• Develop and implement advanced machine learning and deep learning models to automate and transform business processes in the capital markets value chain
• Use and create data science models to produce strategic insights, develop sophisticated predictive models and deploy solutions meeting current standards.
• Use generative AI models to create synthetic financial data, simulate market scenarios, generate new investment ideas, automate post-trade processes, and enrich seller interactions with
  relevant stakeholders.
• Collaborate with quantitative analysts and traders to design solutions based on artificial intelligence.
• Develop a product mindset on the exploitation of AI models to improve and build functional blocks in the IS ecosystem
• Work closely with technical and business teams to resolve complex problems.