Do you want to impact a highly-skilled team that uses cutting edge techniques in Machine Learning and Algorithmic Trading? We are looking for a Machine Learning Infrastructure Engineer that will help us greatly improve the infrastructure behind our models.
Your work will support turning massive data sets of financial information into mathematical models that accurately predict movements in the equity markets. In doing so you will: * Redesign and supervise the data-warehouse that underpins all analytics and machine learning models in the company * Maintain and curate new and existing data sources for our analyses * Automate monitoring and benchmarking of the trading strategies
You will enjoy a wide degree of autonomy and responsibility to optimize our machine-learning pipelines all the way from data-ingestion to live-model performance. There is no red tape and no sales people and there is ample room for creativity.
We are a tight-knit modelling group of nine. We enjoy collaboration and are more than willing to discuss the business cases built upon our data-sets. You will be working alongside a team of software developers and a team of economists who implement and conceive the trading models with us. All team members write code and are not afraid to ask about the technical details.
For more information about the job and our business, please contact us at firstname.lastname@example.org We aim to respond within a week of receiving your application. Afterwards you will be invited to an interview, which is followed up by a day of compensated work at our office. If you believe we are the right match for you and vice versa, you are hired.