Trainee, Business Data Analyst
Hong Kong

Company Description

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

Job Description

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 / Qualifications / Experience

    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
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