Predictive Modeling Professional
6 days ago
Predictive Modeling and Data Science
We're Alipes Capital, a company driving innovation in natural language processing systems for reading and interpreting financial news. To become the market leader in automated financial markets, we need a highly skilled Machine Learning Researcher to develop predictive models using cutting-edge technologies.
In this role, you'll lead efforts in creating a world-class modeling workflow, working with high-frequency data sets, exceptional colleagues, and state-of-the-art tools. Your goal is to elevate our predictive modeling standards to new heights, enabling seamless data transformation into accurate financial predictions.
Your work will include:
- 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, short feedback cycles, and deployment times measured in hours, not days. Our flat hierarchy ensures 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
Our 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.
How 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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