Data Scientist
6 days ago
Imagine being part of a team that's at the forefront of machine learning innovation, pushing the boundaries of predictive modeling and data analysis.
We're looking for a highly skilled Machine Learning Researcher to join our team at Alipes Capital, where you'll have the opportunity to work with cutting-edge models, high-frequency data sets, and exceptional colleagues.
As a Machine Learning Researcher, you'll play a crucial role in scaling our business by elevating our predictive modeling standards to new heights. You'll lead efforts in creating a world-class modeling workflow, enabling seamless data transformation into accurate financial predictions.
Your work will involve tackling software infrastructure challenges such as:
- Developing and optimizing calibration and benchmarking frameworks
- Building best practices for data preparation and dataset generation pipelines
- Prototyping and releasing novel predictive architectures, especially time-series models
You'll enjoy instant validation and short feedback cycles, with deployment times measured in hours, not days. Our flat hierarchy and high levels of trust ensure your autonomy and flexibility.
About the Team
You'll be working alongside two other teams – software developers and traders – implementing and conceiving mathematical models together. Collaboration is key, with all team members writing code and understanding its impact. We value technical discussions and encourage ownership of projects.
About You
To succeed in this role, you should have:
- Fluency in mathematics and statistics
- Experience working with the full Machine Learning stack
- Programming experience with Python, particularly data-wrangling and numerical programming
- Proficiency in computer science fundamentals
- A scientific and inquisitive mind
Nice to Have
- Experience with 'out-of-core' datasets
- Knowledge of tools like PyTorch, Tensorflow, XGBoost, and Catboost
- Programming experience with languages like C# and C/C++
- A PhD or MSc degree in engineering, physics, computer science, mathematics, or economics
Benefits
We offer a collaborative team environment, exciting problems to solve, and a nice office in Nordhavn with a hybrid work model. Enjoy pension, health insurance, and 30 days of vacation.
Practicalities
To apply, please send your CV and a cover letter explaining why you'd be a great fit for this role. If your profile looks promising, we'll get in touch to coordinate an online technical test as the first step in the interview process.
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