CMI – AI Data Scientist

Job Description

The Department

Capital Markets IT (CMI) is the IT department within the bank focused on solutions related to Capital Markets. Capital Markets IT involves technology solutions and systems used in financial markets for trading, investment, and related activities. This includes electronic trading platforms, risk management systems, market risk, counterparty risk, algorithmic trading, data analytics, and Regulatory measures. The use of advanced technologies like cloud and artificial intelligence is also becoming increasingly prevalent in capital markets to enhance efficiency and decision-making processes.

Job Responsibilities

• 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.
  
  

Travel: Occasional

Qualifications And Profile

Experience required 10 years minimum in an IT functional architecture position or equivalent role

• Expertise in machine learning, deep learning, generative AI and MLOps.
• Knowledge of data management practices to clean, preprocess and transform data sets for model training
• Mastery of AI algorithms and frameworks (e.g., Tensorflow, PyTorch, Scikit, etc.)
• Knowledge of GEN AI and LLM technologies on the public Cloud using RAG patterns
• Understanding the ethical principles to better generate embeddings for GenAI.
• Expertise in Python, .NET or Java, DevOps / MLOps / LLMOps (GitLab CI/CD, Kubernetes, AWS Cloud
  
  

Other Professional Skills And Mindset

• Excellent problem-solving and analytical skills.
• Effective communication skills and ability to work collaboratively in a team.
• Excellent Aptitude, Curious to learn and inquisitive.
• Autonomous, self motivated and excellent team player.
  
  

Application criteria

Company Crédit Agricole CIB

About Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB) Crédit Agricole CIB is the corporate and investment banking arm of Crédit Agricole Group, the 10th largest banking group worldwide in terms of balance sheet size (The Banker, July 2022). 8,600 employees in more than 30 countries across Europe, the Americas, Asia-Pacific, the Middle-East and North Africa, support the Bank's clients, meeting their financial needs throughout the world. Crédit Agricole CIB offers its large corporate and institutional clients a range of products and services in capital market activities, investment banking, structured finance, commercial banking and international trade. The Bank is a pioneer in the area of climate finance, and is currently a market leader in this segment with a complete offer for all its clients. For more information, please visit www.ca-cib.com Twitter: https://twitter.com/ca_cib LinkedIn: https://www.linkedin.com/company/credit-agricole-cib/ By working every day in the interest of society, we are a group committed to diversity and inclusion. All our positions are open to people with disabilities.