Middle Quantitative Researcher

Reposted 14 Days Ago
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Amsterdam, NLD
In-Office
Mid level
Fintech • Software • Financial Services
The Role
Join a trading team to analyze global markets and develop profitable trading strategies using machine learning and statistical models.
Summary Generated by Built In

We are looking for a Middle Quantitative Researcher for our Amsterdam and Cyprus based offices who will join one of our Trading teams to analyze the global markets, create and optimize profitable trading strategies.

Responsibilities

  • Developing and improving trading algorithms using statistical models and machine learning techniques;
  • Analyzing high-frequency trading strategies and market microstructure to identify new trading opportunities;
  • Collaborating with developers and other researchers to implement and optimize trading strategies;
  • Contributing to the improvement of existing trading strategies and assisting senior researchers in quantitative strategy design.

Requirements

  • Degree in math, physics, computer science or another quantitative field;
  • Track record of solving analytical problems;
  • Outstanding performance in mathematical competitions or competitive programming contests would be a huge advantage (but not necessary);
  • Experience in implementing machine learning algorithms.

What we offer

  • High base salary and social benefits;
  • Generous bonus structure. We are very flexible in discussing salary and conditions of employment;
  • Cutting-edge hardware and software in production as well as high technical expertise of the company which allows implementation of bold ideas and boosting great results. Ownership over initiatives that directly solve business problems;
  • Ability to trade on dozens of international exchanges;
  • Flexible workflow (lack of formalism and bureaucracy, no pressure and over-management) and working schedule;
  • Tuition reimbursement, conference and training sponsorship.

Skills Required

  • Degree in math, physics, computer science or another quantitative field
  • Track record of solving analytical problems
  • Experience in implementing machine learning algorithms
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The Company
117 Employees

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