Data Science Engineer

A premier, highly profitable Global High-Frequency Trading (HFT) & Algorithmic Trading powerhouse that is widely recognized as a rising star in the quantitative finance arena.

Composed of world-class researchers, scientists, and industry experts, the company generates multi-million-dollar net returns annually and maintains an elite, highly competitive compensation and incentive structure.

Located in a central industrial tech park (exceptionally accessible, featuring a fully customized, flexible private shuttle and taxi network covering major metropolitan transit points) and operating on a collaborative hybrid model with one day of remote work per week.

Position Overview-

• Quantitative Data Scientist / Quantitative Researcher joining an elite algorithmic squad to engineer next-generation predictive trading strategies.
• Conducting deep-dive applied research over massive, multi-dimensional financial datasets using advanced probability theory, statistical mechanics, and predictive modeling.
• Taking mathematical theories from conception to reality, designing and training high-throughput Machine Learning (ML) and Deep Learning (DL) models that directly drive real-time market executions.
• Operating inside a high-performance technological ecosystem primarily optimized in C++ with auxiliary research workflows in Python and R.

Requirements-

• B.Sc. in Computer Science, Physics, Electrical Engineering, Mathematics, or a highly quantitative scientific discipline from a leading university with an exceptional grade point average of 91+ (or equivalent honors) - Mandatory
• 1+ years of proven professional or military experience focusing on Quantitative, Scientific, or Applied Research (with a demonstrated capability to build predictive or algorithmic models) - Mandatory
• Solid engineering foundation with practical, hands-on programming experience—highly prioritizing production-grade fluency in C++ (or a strong technical background in Python/R) - Mandatory
• Proven professional track record within innovative software startups, high-tech enterprises, or elite technological military intelligence units - Mandatory
• Prior professional experience operating as a Quantitative Researcher or Developer within an Algorithmic Trading / HFT / FinTech ecosystem - Significant Advantage
• Hands-on research or implementation background specializing in Deep Learning (DL) architectures - Advantage

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