Data Engineer for Quantitative Trading - Remote

Overview

We're looking for a data-minded, resourceful engineer to join Sovereign, a quantitative trading desk at Nascent. In this role, you'll help us uncover, evaluate, and integrate new data sources to fuel our research and trading strategies. You'll work in a fast-moving, exploratory environment where no two days are the same: developing pipelines, analyzing diverse datasets, and building scalable workflows that support quantitative discovery at scale.

In Short

• Proactively identify and evaluate novel data sources that could drive alpha.
• Conduct exploratory analysis on new datasets.
• Acquire historical datasets and build automated pipelines.
• Standardize disparate datasets into coherent schemas.
• Design and implement custom AI agents for workflows.
• Partner cross-functionally with engineers and quants.
• Develop strong intuitions around dataset structure and quality.
• Surface opportunities where data can unlock insights.

Requirements

• Strong track record with analytical environments like Pandas, R, or Matlab.
• Proficient in Python and SQL.
• Comfortable using AI coding assistants.
• Experience with time series data.
• Exposure to complex systems like rules engines.
• Familiarity with Docker and Linux CLI.
• Background in a quantitative or data-rich domain.
• Bonus points for shipping a product or contributing to open source.

Benefits

• Competitive total compensation package with bonuses.
• Opportunity to learn and build in an entrepreneurial environment.
• Remote and distributed working environment.
• Comprehensive health benefits package.
• 16 weeks fully paid parental leave.
• Home office setup and stipend.
• Retirement plan matching contributions.
• Open vacation policy and flexible work hours.
• Team activities and in-person retreats.