ML Researcher (Time Series / Signals) - Remote

Overview

We are a prop-trading company that combines the agility of a startup with the resources of a high-performing fund. Our team is focused on developing cutting-edge strategies, and working with us means not just advancing technology, but also being part of a team where ideas are valued, professional growth is encouraged, and every member has the opportunity to unlock their full potential.

In Short

• Researching, developing, and deploying cutting-edge machine learning models for forecasting complex, high-dimensional time series.
• Building ML pipelines from scratch: data ingestion, feature processing, modeling, calibration, and monitoring.
• Designing custom validation and testing approaches for non-stationary data.
• Working with large-scale data sources and transforming them into structured features.
• Collaborating with quants and engineers to integrate ML models into investment processes.
• Contributing to strategic research initiatives in machine learning.

Requirements

• Strong background in machine learning and time series modeling.
• Experience with data ingestion and feature processing.
• Knowledge of validation and testing approaches for non-stationary data.
• Ability to work with large-scale data sources.
• Collaboration skills with quantitative analysts and engineers.

Benefits

• Opportunity for professional growth.
• Value for ideas and contributions.
• Access to cutting-edge technology.