Quantitative Researcher - systematic trading

  • Competitive
  • Zug, Schweiz Zug Zug CH
  • Festanstellung, Vollzeit
  • flov technologies AG
  • 16 Aug 18 2018-08-16

We are seeking a world-class quantitative researcher to join our team. He/she will apply mathematical techniques and write code to develop, analyze and implement sophisticated statistical investment algorithms with the aim of continuously improving our alpha-generating trading models. Specific responsibilities range from analyzing and leveraging financial data to conceiving new trading ideas, formulating them into systematic strategies, critically evaluating their performance and overseeing daily execution of a sub-group of models.


Firm presentation

Flov technologies is a Swiss asset management company with focus on quantitative investment strategies in digital assets, with a vision of a global peer-to-peer marketplace that utilizes distributed ledger technology as a settlement infrastructure. The firm is built on three pillars: a highly experienced and visionary team, tested investment strategies and professional operational structure. As such the team is comprised of Blockchain pioneers with detailed insights into the crypto world and its future, experienced hedge fund professionals with great track records and quants that can deploy investment strategies in a quick and efficient manner. Additionally, flov has a clear organizational structure and governance, process driven operations, and strong risk management that can mitigate investment risk in the space of digital assets. Flov allies an open research setup (no silos) with a meritocratic environment, and values research and information technology as the cornerstones of its success.


Essential qualifications

  • Strong academic record with preference for a master’s/Ph.D. degree in a quantitative discipline
  • Experience with advanced statistical modeling and numerical methods
  • 2-3 years of relevant experience in a fully automated trading environment
  • Knowledge of portfolio construction analytics and exposure to quantitative portfolio management
  • Passionate about model building and data analysis
  • Exceptional quantitative and analytical skills
  • Experience in Java and/or Python
  • Experience using statistical packages (e.g. R, Matlab)
  • Database systems (e.g. MySQL)


Desirable qualifications

  • Experience at a top quant trading firm is highly desirable
  • Familiarity with crypto assets, in particular from a trading perspective
  • Familiarity with versioning systems (e.g. GIT)



  • Good interpersonal skills and team player
  • Innate curiosity, creative and detail-oriented
  • Resourceful
  • Entrepreneurial mindset
  • Ability to communicate complex ideas clearly
  • Critical thinking