Yapily is building API connections to all retail banks, normalising and enriching the data, and providing it through a highly secure and performant API.
Yapily is seeking Data Engineer to uncover key insights on financial data. Banks used to own everyone’s financial data, but that was the past. Now with Open Banking people's finances' data is available to regulated companies to provide better financial services to everyone, using Yapily’s proprietary APIs.
Build, maintain and improve on our predictive models for metadata attributes of financial data
Support the analytical needs of the product team inclusive of statistical inferences, demand modelling, feature engineering and the bespoke evaluation of data usage licensing deals
Participate in research in machine intelligence and machine learning applications
Develop solutions for real world, financial data problems
Master's degree in machine learning, operational research, computer science, statistics, applied mathematics or a related field; or equivalent experience
Professional work experience in data science, business intelligence or analytics
+3 years experience (Academic or commercial) in machine learning or ML related fields
Strong analytical and statistical modelling skills
Experience with ML libraries and frameworks including; Scikit Learn, Tensorflow, Torch, Caffe
Experience with NLP or text classification
Language experience (Academic or commercial) in some of the following languages; Python, R, Matlab, Java, Scala, Hadoop
Experience presenting complex data subjects to general audience and dealing with clients
Proactive and self-motivated
This is a fantastic opportunity to join a fast growing company. At Yapily, we don’t just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community! Get in touch!