Cmi - ai data scientist h/f

A propos de Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB)

Crédit Agricole CIB est la banque de financement et d'investissement du groupe Crédit Agricole, 10ème groupe bancaire mondial en taille de bilan 2021 (The Banker, juillet 2022).
Près de 8600 collaborateurs répartis dans plus de 30 implantations en Europe, Amériques, Asie-Pacifique, Moyen-Orient et Afrique du Nord, accompagnent les clients de la Banque dans la couverture de leurs besoins financiers à travers le monde.
Crédit Agricole CIB propose à ses clients grandes entreprises et institutionnels une gamme de produits et services dans les métiers de la banque de marchés, de la banque d'investissement, des financements structurés, de la banque commerciale et du commerce international.
Pionnier dans le domaine de la finance Climat, la Banque occupe aujourd'hui une position de leader sur ce segment avec une offre complète pour l'ensemble de ses clients.

La majorité des postes est éligible au télétravail dans les conditions prévues par notre accord reposant sur le double volontariat (collaborateur & manager) et après une période d'intégration réussie.
Crédit Agricole CIB s'engage en faveur de l'insertion des personnes en situation de handicap, ainsi ce poste est ouvert à toutes et à tous.

Pour plus d'information : www.ca-cib.fr

Twitter : https://twitter.com/ca_cib
LinkedIn : http:///company/credit-agricole-cib/ 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.