Paris, Paris 75

Fincome is an early-stage tech-enabled platform that aims to provide growth financing to the recurring revenue economy. It was founded in 2021 by two former private equity investors, with the ambition to introduce an easier, faster and cheaper financing alternative for founders and VC funds. We are located in Paris.


  • Python
  • SQL
  • ReactJS
Supérieur à 45K€ / Année Participation : Supérieur à 1% CDI Publiée le 20/09/21

Description de l'offre

We are looking for a full-time CTO to join our team as our first employee, in charge of building and implementing a risk scoring algorithm from the ground up and managing the development of our tech solution. You'll solve hard problems and have deep impact on the end-product. We're looking for an autonomous problem solver, highly motivated to work in a fast-paced environment and fully committed to contribute to the rise of a new way for companies to finance their development. Responsibilities • In charge of building and implementing a robust and sophisticated risk scoring algorithm based on specific operational and financial data • Implement machine learning models that leverage the historical data collected from new clients to continuously improve the algorithm accuracy • Build and maintain API connections with our main data providers (Stripe, Recurly, ChargeBee, Open Banking APIs) • Develop the automation of our processes in order to allow us to deliver our financing proposals in a very short time frame and unlock the scalability of our product • Define solutions that can help our customers quickly onboard their data in cases where data is not in traditional formats • Coordinate with our external partner to build and maintain the front-end workflow and back-end infrastructure (including web applications) • Recruit and manage a team of software engineers dedicated to improving and developing our tech assets and product lines • To be at the forefront of product and process innovation Requirements • MSc or above from a tier-one engineer school or university, with a curriculum in applied mathematics with a focus on statistics. PhDs are welcomed • At least 3-5+ years of experience as a data scientist or similar function in a startup or larger company. Experience in a fast-growing startup is a plus • Experience with: machine learning, statistics, data management, data architecture, process automation and web application. Knowledge or experience in the financial or insurance sector is a plus • Python and SQL are required. Knowledge of JavaScript with one or more main web framework (react.js, angular.js, vue.js…) is really appreciated. Any other language is a plus (C++, Java, R, Spark…) • English is a must and French required • Capacity to interact with non-engineering stakeholders to ensure you are going in the right direction • Capacity to adapt and thrive in a fast-paced entrepreneurial project in the financial sector, with a willingness to both learn and share knowledge as the understanding of financial KPIs will be critical to succeed • Deep interest in how to transform finance and technology through data Useful info • Attractive package including stock-options • Flexible hours • Starting date: as soon as possible