Created in 2000, Kyriba now has more than 770 employees. The Franco-American company has its headquarters in San Diego and R&D is located in Paris. Kyriba also has offices in London, Minsk, Tokyo, Hong Kong, Rio de Janeiro, Singapore, Shanghai and Dubai.

Kyriba is the world leader in cash management and payment solutions in the cloud, providing the best technologies for CFOs, treasurers and finance professionals.

A complete suite of modules is available: cash management, market operations (debt, investment, interest rate, foreign exchange), international banking communication, payments and supply chain financing (early payment programs). Kyriba has prestigious and demanding customers, including companies such as Blablacar, BBC, Eurostar, Expedia and EA. More than 2,200 companies use Kyriba’s features on a daily basis in more than 100 countries.

General Purpose:

As part of our data-as-a-service vision, Kyriba is investing in AI and ML. We want to automate the manual and time-consuming tasks performed daily by our customers and provide them insights to make better decisions.

In a team of about fifteen people, specialized in Business Intelligence and Data, mixing product and technical expertise, you will be involved in the research and development phase on various data science topics under study and to come to Kyriba. You will be the reference for data science in Kyriba.

Your role:

• Respond to use cases submitted by the Product team and the Engineering team.
• Proposing research orientations on the different use cases identified across the four main products of Kyriba: Treasury, Payment, Risk management, Supply Chain Finance. The use cases are diversified, such as Fraud detection, cash Forecasting, Predictive maintenance for instance.
• Select, implement and improve the models. You will be required to work in pre-sales situations with customers in order to create prototypes to demonstrate the machine learning concepts you master. You will then help the Engineering team to industrialize the prototypes selected by the Product team.

• Master degree in data science. Your academic background has naturally led you to a career oriented towards research and development. Data Science, Machine Learning, Deep Learning, Natural Language Processing fascinate you and you know how to talk about it
• A minimum of 5 years of experience in data science, in particular in machine learning. You want to evolve towards management.
• You are creative and curious by nature. Large-scale machine learning (Big Data) and the industrialization of machine learning pipelines are subjects that you consider to be of primary importance. You listen to your customers.
• Ability to work in an international team. English in both written and spoken form is a daily practice.
• The candidate will be asked to document and present the progress of this work to the team but also to a wider audience (popularization skills appreciated).