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.

My client been the market leader in automating the financial markets since they started back in 2008, shaping a fully automatic natural language processing system for reading and interpreting financial news.

Why you should be interested:

• Each person in the company has a masters or PHD, so if you want super smart people this is the place for you
• A real technical challenge
• The ability to work with like minded people
• A collaborative environment
• The ability to grow internally and really make a difference
• Great coffee :)

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.

About you

• Fluency within mathematics and statistics

• Experience working with the full Machine Learning stack from data generation through model calibration and real-life validation and monitoring

• Programming experience with Python, in particular data-wrangling and numerical programming

• Proficiency with computer science fundamentals

• A scientific and inquisitive mind

Nice to have

• Experience working with ‘out-of-core’ datasets

• Experience working with tools like PyTorch, Tensorflow, XGBoost and/or Catboost

• Programming experience with languages like C# and C/C++

• PhD or MSc degree in engineering, physics, computer science, mathematics or economics
  
  If this sounds like you please apply directly or reach connor@kodastaff.com