Optimization Engineer

  • Hours: 100%

  • Location: Zurich City

  • Duration: start date negotiable

swissQuant Group provides quantitative services, consultancy and products for financial and industrial clients, including a number of global Fortune 500 companies. Our business edge originates from the effective translation of Intelligent Technology into measurable, bottom-line client value. swissQuant Group is a privately held company incorporated in 2005 as a spin-off of ETH Zürich.

Position Overview

To strengthen our Optimization Practice we are currently seeking a well-rounded Quant Engineer with experience in People Leadership who can contribute to all aspects of our growth: Quant Excellence, People Leadership, Project Management.

Scope

You will be expected to develop quantitative decision-support tools and services. This will include modelling, simulation, and analysis of financial market data, as well as employing various numerical methods to analyse both structured and unstructured data. As our technology is generally delivered as software, it is important that you are familiar with the software development life-cycle. Assistance in the marketing of our offerings is also a part of the job description. You are therefore expected to possess strong communication skills in addition to excellent technical capabilities.

Requirements

To be a successful candidate, you must fulfil some of the following requirements:

  • Master’s degree in Computer Science, Mathematics, or Engineering

  • Practical experience with modeling, solving, and tuning of optimization problems

  • Deep knowledge of optimization theory

  • Practical experience with Gurobi is a strong plus

  • Proficiency in Java

  • Experience with Git, Docker, Maven

  • Knowledge of Python is a plus

  • Strong analytical thinking

  • Basic knowledge of financial markets and quant finance

  • Good presentation skills and communication skills in German and English

  • Eligible to live and work in Switzerland

Optimization Engineer (PDF, 117 kb)

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