Data Engineer

Turn complexity into simplicity

About Us

Drawing inspiration from the movie The Matrix, QuontX envisions a groundbreaking technology that transcends AI, deeply exploring and understanding the multifaceted complexity of society, to build an accurate virtual replica of reality, empowering organizations to model and predict future outcomes.

Role Overview

We're seeking a Neo—someone who can free humanity from the haze of uncertainty and shatter the seemingly impenetrable barrier of complexity. In collaboration with academic experts in complex systems dynamics, data quality, machine learning and linguistics, you will make the uncertain future less uncertain.

Key Responsibilities

  • Data Architecture: Design and implement robust data pipelines to ingest, process, and integrate diverse data sources.
  • Modeling & Simulation: Develop and refine mathematical models to analyze and emulate societal dynamics with high fidelity.
  • Research & Innovation: Conduct cutting-edge research to identify novel techniques to analyze and model complex systems. Collaborate with domain experts at the forefront of innovation.

Qualifications

  • 5+ years in data engineering, data science, or a related field, ideally with exposure to large-scale modelling.
  • Proven track record of building end-to-end data systems, from ingestion to modeling.
  • Demonstrated ability to conduct independent research, with a curiosity for advanced statistics, simulation, and systems thinking.
  • Experience with interdisciplinary projects blending engineering and social sciences is a plus.

Join Our Mission

Be a foundational member of a groundbreaking startup with a mission to redefine how we model financial systems.

Send your resume and links to any portfolio/projects (e.g. GitHub, research papers).