Senior Front Office Developer
Groupe BPCE
Hong Kong

Description de l’entreprise

Natixis is a French multinational financial services firm specialized in asset & wealth management, corporate & investment banking, insurance and payments.

A subsidiary of Groupe BPCE, the second-largest banking group in France through its two retail banking networks, Banque Populaire and Caisse d’Epargne, Natixis counts nearly 16,000 employees across 36 countries.

Its clients include corporations, financial institutions, sovereign and supranational organizations, and the customers of Groupe BPCE’s 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.

Role overview :

You will be part of the local agile team, you will be responsible for designing, developing and deploying front office tools for Equity, Fixed income, FX and Credit derivatives businesses.

The platform is covering automated pricing, distributed Computation, marketdata contribution and Risk & PnL monitoring. In addition, you will also work with a global team to implement and maintain global Equity Markets application dedicated for Structured Products pricing and workflow automation.

Main Responsibilities :

  • Design, develop and deploy front office applications written in C# and Python
  • Work closely with Product Owner to develop products that facilitate growth of global market business
  • Setup and improve monitoring tools.
  • Provide level 3 support
  • Work closely with the global team, based in Paris, to stay in line with global deliveries, scrum sprints, dev and test cycles
  • Required Skills :

  • Minimum 5 years development experience with C# / WPF / Winforms (minimum 5 years) Python is a plus
  • SQL Server / Mongo
  • Microservice architecture and Distributed computing
  • Agile environments
  • multicultural environment
  • Good English command
  • Python knowledge
  • Financial services experience preferred
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