Key Skills

Job Description

Quantitative Researcher (Junior/Senior/Intern) Hybrid/Remote Responsibilities Use techniques from data science, statistics, and applied mathematics to develop trading algorithms and mathematical models of the financial markets. Skills, qualifications & experience An advanced degree in computer science, mathematics, physics, statistics, or a related field. A demonstrated capacity to do first-class research independently. An organised and structured way of working. Strong computer programming (e.g. Python / C#) and data analytics skills. Why apply? Start-up environment with broad exposure to all facets of the financial market — behavioural finance, signal creation, portfolio management, investment strategies. Steep learning curve. High discretionary bonus based on performance in the first 3 months (no base salary). After the initial evaluation period, the candidate can opt for base salary + bonus structure. Flexible working hours (part-time or full-time) and location (HQ in the Netherlands or remote). Collaborative, flat working culture — quick thinkers who adapt, react, and predict. How to apply? Response is managed offline via the website: https://kairosys.cc/vacancies. Or you send your cv via a message to kairosys’ inbox.

Core Responsibilities

Develop trading algorithms and mathematical models of financial markets using data science and statistical techniques. Engage in research across various facets of finance including signal creation and portfolio management.

Requirements

Requires an advanced degree in computer science, mathematics, physics, statistics, or a related field. Candidates must demonstrate strong programming skills in Python or C# and the ability to conduct independent research.

Benefits

• Performance-based bonus
• Flexible working hours
• Remote work options
• Steep learning curve