Machine Learning Researcher

at  Alipes

Imagine working with cutting-edge machine learning models, crunching high frequency data sets and sparring with exceptional and fun colleagues, all while taking part in scaling our business even further.
Does this sound highly appealing to you? Then you might be our new Machine Learning Researcher at Alipes Capital.
At Alipes Capital, we have been the market leader in automating the financial markets since we started back in 2008, shaping a fully automatic natural language processing system for reading and interpreting financial news.
To accomplish our mission of being the best at what we do, we understand the importance of elevating our predictive modeling standards to the highest levels. Your work will involve leading the efforts in creating a world class modeling workflow, enabling the team to seamlessly turn massive data sets of financial information into mathematical models that accurately predict movements in the financial markets.

In doing so, you will get a chance to tackle a variety of software infrastructure challenges, such as:

• Development and optimization of calibration and benchmarking frameworks
• Building out and implementing best practices for data preparation and dataset generation pipelines
• Prototyping and releasing novel predictive architectures, especially with respect to time-series models.

You will get instant validation of your work and experience short feedback cycles, where going from inception to deployment can be a matter of hours. There will be no red tape to cut and no sales people to consult.

Please refer the Job description for details