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(Internship / Master Thesis) A Devops and data driven approach for detecting payment fraud or issues within the ticketing industry

Lausanne | Secutix
Job number
1519
Date posted Mar 26, 2024
Job category DevOps / SysOps / Platform engineer Level of experience -
Job type External Employment type
Internship
Work site Lausanne Company
Meet our interns

About SECUTIX

SECUTIX is the market leader in advanced digital solutions for the events industry. Offering a seamlessly integrated and open cloud platform, SECUTIX gives organizations complete control and a suite of tools to help better understand and digitally engage with audiences, monetize products and services, secure operations and take audience experiences to the next level. SECUTIX serves a range of organizations on a global scale, including sport clubs, stadiums and arenas, museums, live entertainment organizations, leisure parks and festivals. Its emblematic customers include the UEFA, Ópera National de Paris, Centre Pompidou, Paléo Festival, Musée Picasso Paris and many more. 

Your role

SecuTix is a technology leading actor in the event industry by providing cloud ticketing solution for high demanding events around the globe. It includes major tournaments, artist tour or famous venues such as opera houses. From a social perspective, SecuTix is engaged in reshaping the industry for more security, better fan experience and by providing closer control to event organizer or artist rather than the global distribution channels.

S-PAY is a payment solution part of SecuTix portfolio. It processes around 2 000 M€ per year and is under the lead of an empowered agile devops teams.

The volume processed implies to develop a data driven approach to improve conversion rate, detect fraud (or bots), reduce chargeback and support in general. This model should allow to trigger local and short-term action.

We provide the possibility to be part of an agile devops team, to work with recent a technology stack (AWS based) and contribute to the success of worldwide and visible events.

Objective:

Define a data driven strategy based on payment data to improve conversion rate, detect fraud (or bots), reduce chargeback and support in general.

 

 

Our offer

  • A dynamic work and collaborative environment with a highly motivated multi-cultural and multiples international sites team
  • Personal development through training and coaching
  • A flat hierarchy and a culture of collaboration across all disciplines
  • The chance to make a difference in peoples’ life by building innovative solutions
  • High innovation and research backed up by collaboration with universities like EPFL
  • Various internal coding events (Hackathon, Brownbags), see our technical blog
  • Monthly After-Works organized per locations
  • Good life balance (41 working hours per week and possibility to work 2 days per week from home)

Your profile

  • Interest for data analysis
  • Strong solving, analysis skills

Knowledge in reporting, AWS (Clouldwatch) is a plus