Data Scientist, Madrid

Data ScientistEburys strategic growth plan would not be possible without our Data Analytics Reporting team and we are seeking a Data Scientist / FX quant to join our Treasury ALM domain! Our data mission is to develop and maintain Eburys Data Platform and serve it to the whole company. This platform is the backbone of Ebury : it supports internal decision making, allows us to comply with Regulatory and Financial reporting obligations and enables commercial opportunities globally. The Data team works closely with the Treasury teams providing cash, liquidity and valuations analysis and tools to effectively manage Ebury financial risks. Some of the projects we are currently working on include : building ML models to calculate the exposure of Eburys FX trades, valuation of new sophisticated product offerings like FX Options strategies, building data models to manage liquidity risks and many many more! What we offer : - Competitive salary and benefits package - Discretionary bonus based on performance - Continued personal development through training and certification - We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects Responsibilities : - Be responsible for building and maintaining ML models for Treasury to give manage Ebury financial risks as well as giving insights to the business and earnings opportunities - Be responsible for building and maintaining pricing models for the Ebury FX derivatives product suite and market risk hedges - Collaborate with Data Engineers and Data Analysts to design, build, and deploy scalable data solutions, ensuring seamless integration of models into production and effective delivery to business stakeholders.

• Work closely with the Treasury teams (ALM, cash management) and Product teams to understand the needs of the business About you : - 3+ years of experience in Data Science / Quant - Advanced proficiency in Python and experience with machine learning libraries, specifically for building exposure, forecasting and pricing models.
• Solid understanding of statistical methods and econometric models, with the ability to interpret model results and assess their performance.
• Experience in FX pricing, risk and valuation models - Proficiency in SQL for querying and managing large datasets, as well as experience working with structured and unstructured data sources.
• Experience with GCP (Google Cloud Platform) tools and services, such as BigQuery, AI Platform, and Cloud Functions, for deploying scalable data solutions.
• Strong problem solving and analytical skills with excellent attention to detail - Comfortable working in a fast-paced and demanding work environment - Fluency in English - Financial Reporting experience is desirable but not mandatory - Financial Services and Capital Markets Experience (FX, Payments, Money Markets, Treasury Management, etc) is desirable but not mandatory If youre excited about this job opportunity but your background doesnt match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have. Python, BigQuery