Machine Learning Researcher Quant Position
2 days ago
Imagine working at the forefront of machine learning innovation, where high-frequency data sets and collaborative research come together to drive business growth.
This could be your opportunity to join Alipes Capital as a Machine Learning Researcher Quant. We are shaping a world-class natural language processing system for reading and interpreting financial news, and we're seeking someone to elevate our predictive modeling standards.
Your key responsibilities will involve developing and implementing cutting-edge modeling workflows, enabling seamless conversion of massive financial datasets into accurate predictions. This will also involve tackling software infrastructure challenges like:
- Development and optimization of calibration and benchmarking frameworks
- Building out best practices for data preparation and dataset generation pipelines
- Prototyping novel predictive architectures, especially with respect to time-series models
You'll have instant validation of your work, experience short feedback cycles, and contribute to an informal atmosphere where technical discussions are valued. Our team is a tight-knit group of passionate quantitative researchers from diverse backgrounds – eleven PhD's and three MSc's covering statistical analysis, mathematical modeling, and machine learning. We collaborate closely with software developers and traders who implement and conceive mathematical models alongside us.
We're looking for someone with fluency in mathematics and statistics, experience working with the full Machine Learning stack, proficiency in Python programming, and computer science fundamentals. A scientific and inquisitive mind is essential. Nice-to-have skills include experience with 'out-of-core' datasets, PyTorch, Tensorflow, XGBoost, Catboost, C#, C/C++, and a degree in engineering, physics, computer science, mathematics, or economics.
As part of our team, you'll enjoy flat hierarchy and high levels of trust and autonomy, exciting problems to solve, a collaborative team, nice office space in central Copenhagen with a hybrid work model, pension, health insurance, and 30 days of vacation.
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