Natixis is the international corporate and investment banking, asset management, insurance and financial services arm of Groupe BPCE, the 2nd-largest banking group in France with 31.2 million clients spread over two retail banking networks, Banque Populaire and Caisse d’Epargne.
With more than 17,000 employees, Natixis has a number of areas of expertise that are organized into four main business lines: Asset & Wealth Management, Corporate & Investment Banking, Insurance and Specialized Financial Services.
A global player, Natixis has its own client base of companies, financial institutions and institutional investors as well as the client base of individuals, professionals and small and medium-size businesses of Groupe BPCE’s banking networks.
Natixis CIB Asia Pacific provides regional corporate and financial institution clients with tailor-made financing and capital markets solutions as well as access to global financial markets, while supporting the development of Natixis’ European and international clients in Asia Pacific

Main Responsibilities:

• Data manipulation for descriptive and predictive analytics
• Implement, deploy and evaluate Machine Learning models customized for internal applications
• Build and maintain MLOps automation pipelines
• Research on the latest machine learning trends and data mining technologies
• Collaborate with senior data scientists and data engineers on developing ML solutions

Required Skills:

• Bachelors’ degree in Mathematics / Computer Science or related quantitative disciplines
• Hands-on experience in Python programming
• Hands-on experience in ML & Data Ming libraries, e.g., sklearn, scipy, pandas
• Experience in SQL (NoSQL is an advantage, but not necessary)
• Capability of reading research papers in ML & AI areas and extracting relevant details