Nuant, founded in 2021, is a Swiss FinTech company bridging the gap between Web2 and Web3 ecosystem.

We don't predict the future, we build it.

We’re creating tomorrow’s digital asset management platform today, combining advanced portfolio management, portfolio construction, risk management and client reporting capabilities with fully-integrated on-chain and off-chain data, insights & analytics to support the needs of Investment Managers in winning and retaining clients in the Digital Asset ecosystem.

Our mission is to be the leading data infrastructure and solutions provider for all financial institutions to benefit from the Digital Asset economy.

Our vision is to create an all-in-one platform for Institutions and to allow crypto fund managers achieve operational efficiency.

The Product

The Portfolio Management System bring connectivity to all major crypto Exchanges, Custody and Blockchains in order to aggregate all assets / tokens held into multiple venues. We aim to support multiple asset classes (spot, derivatives, and to connect with the main DeFi protocols).

The Role

We are looking for an experienced Mid Backend Software Engineer to join our PMS (Portfolio Management System) Feature Team composed of 7 tech savvy & talented people (2 FE, 3 BE, 1QA, 1 PM).

You’ll handle several challenges at different levels:

• Connectivity side
  • Develop and maintain our existing partner integrations (extend supported scope, enhance current implementation, migration to new API end points, bug fixes…)
  • Integrating with new 3rd party data provider (Centralized Exchanges, Custody solutions, Market Data providers…) mainly exposing API (either http or websocket for real time purpose)
  • Inter connect with several Nuant’s micro-services (On chain data provider, Metrics library etc…)
• Core side
  • Implement easy to complex computations to provide insightful analytics and performance indicators to our customers
  • Expose in a proper and most efficient way data to FE through a GraphQL API
• DB
  • Ingest, transform & store data fetched from different sources
  • Constantly enhance the performance to keep powering the latency through our data pipe (fetch, store, process & render)
  • Make sure all sensitive information is safely stored & encrypted

The ideal profile