Quantitative Research Infrastructure Engineer — Backtesting & Data

United States Digital Space LLC; Amsterdam; On-site; EUR 110,000 - 180,000; Full time

Benefits offered by this job

Bonus program

Global team across 50+ countries

Paid vacation 25–30 days

Training opportunities

Health insurance discounts

Commuting expenses covered

Office perks (food, coffee)

Conferences & events

Relocation & visa sponsorship

Job summary

United States Digital Space LLC is seeking a software engineer to build the quantitative research framework at the core of our systematic equities business. You’ll work with researchers and traders to model how strategies perform against historical data, and translate ideas into production-grade software.

You’ll contribute to scalable backtesting, data pipelines, and AI-assisted workflows, spanning US, Europe and APAC markets, with a focus on reliability, performance, and reproducibility.

Qualifications

• Strong Python development skills.
• Experience building simulation, backtesting or other large-scale computational frameworks.
• Experience designing and building large-scale, distributed or real-time systems.
• Experience using Python in research, data-intensive or analytical environments.
• Strong software engineering fundamentals and an interest in writing reliable, maintainable production code.

Responsibilities

• Developing and extending the simulation framework used to research and run systematic cash equities strategies across ETFs and stocks.
• Building distributed systems that scale backtesting and model training across cloud and on-premise compute environments.
• Curating high-quality research datasets by combining live and historical market data into accurate, reproducible and scalable inputs for large-scale experimentation.
• Working directly with researchers to understand new requirements and translate them into robust, production-ready software.
• Improving the tools and workflows that allow researchers to experiment, validate ideas and deploy strategies efficiently.
• Applying modern AI tools where they add value across the research and software development lifecycle.

Skills

Python

Backtesting

Distributed systems

Research data workflows

Software engineering

Tools

C++

Spark

Polars

Airflow

Cloud infrastructure

Job description

United States Digital Space LLC is seeking a software engineer to build the quantitative research framework at the core of our systematic equities business. You’ll work with researchers and traders to model how strategies perform against historical data, and translate ideas into production-grade software.

You’ll contribute to scalable backtesting, data pipelines, and AI-assisted workflows, spanning US, Europe and APAC markets, with a focus on reliability, performance, and reproducibility.