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Senior Data Scientist

Crédit Agricole Group

Singapore

On-site

SGD 70,000 - 100,000

Full time

6 days ago
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Job summary

An international bank is seeking a candidate to drive technological innovation through advanced machine learning and AI model development. This role involves designing and maintaining applications, implementing predictive models, and collaborating with financial experts to enhance business processes. Candidates should have strong experience in AI and data science, working within a dynamic banking environment.

Qualifications

  • Experience in developing machine learning and deep learning models.
  • Proficient in data science methodologies.
  • Ability to collaborate with quantitative analysts and traders.

Responsibilities

  • Design, develop, and maintain applications and systems for bank technical infrastructure.
  • Implement machine learning models to automate business processes within capital markets.
  • Collaborate closely with technical teams to solve complex problems.

Skills

Machine Learning
Data Science
AI Model Development
Collaboration

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.
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