Data Scientist - Fraud Management 100%

At TWINT, we believe that innovation should improve our lives and how we live together. It should help us focus on what truly matters: the experiences that move us, the people close to us, and everything that moves us forward together. That's why we're constantly working to make our everyday lives easier – by seamlessly integrating payments and everything related to them into our lives, so we don't have to worry about it anymore. So that each of us can make more of the moment, in small ways and in big ways – for ourselves, for others, and for all of Switzerland.

You have a passion for data science and fraud analytics, take ownership of your work, and are an excellent team player. You are also eager to drive TWINT forward in a dynamic and rapidly growing environment. If you want to be part of our success story, then we are looking for you as a Data Scientist – Fraud Management in Zurich with the option of working from home.

As a Data Scientist in Fraud Management, you are responsible for the further development and operation of data-driven fraud prevention solutions within the TWINT ecosystem. You create and combine machine learning models, rule-based detection mechanisms, and in-depth analyses to identify new fraud patterns early, minimize risks, and sustainably strengthen the security of our customers and partner banks.

Your impact on TWINT

• Development, optimization and governance of machine learning models for real-time fraud detection, including retraining, performance monitoring, documentation and reporting.
• Development and updating of custom rules, rule sets, lists and metrics to specifically supplement and improve the fraud detection models used.
• Continuous analysis of transactions, fraud cases and fraud trends at the scheme, issuer and acquirer level for the early identification of new threats and the derivation and implementation of effective mitigation measures.
• Monitoring and optimization of thresholds and detection parameters in coordination with stakeholders to ensure an optimal balance between fraud detection rate and false positive rate.
• Creation of KPI reports, statistics, management reports and ad-hoc analyses as a basis for decision-making for internal and external stakeholders.
• Interdisciplinary collaboration with Fraud Management, Risk, Security, Compliance, Operations, partner banks and service providers for the continuous development of fraud prevention, prevention guidelines, control mechanisms and processes.

Your profile

• University degree (FH, Uni or ETH) in Data Science, Statistics, Mathematics, Computer Science or a comparable field.
• At least 5 years of professional experience in the field of Data Science or Risk Analytics, preferably in the Payment, FinTech or Banking sector.
• Proven experience in the independent development, monitoring, retraining and further development of productive machine learning models using Python.
• Experience in defining and evaluating thresholds, KPIs and performance indicators for (fraud detection) scoring systems.
• Ability to present complex issues in a way that is appropriate for the target audience and to derive data-based recommendations for action.
• Independent, structured and solution-oriented work style with a high degree of personal responsibility.
• Excellent written and spoken English skills; German is a big plus.

Advantageous

• Professional experience in fraud prevention and practical experience with real-time transaction monitoring solutions.
• Experience in dealing with regulatory requirements in the financial environment as well as with audit and governance processes.

What you can expect:

• Career and development : Shape your professional future through exciting tasks and challenges and comprehensive training opportunities in an innovative technology company.
• Balanced work-life balance : Enjoy 6 weeks of vacation and take advantage of flexible working hours, including the option of working from home.
• Reconciling career and family : Benefit from additional services such as increased family allowances and more parental leave.
• Team spirit and a positive work atmosphere : Experience a collegial and healthy work culture, accompanied by regular events that strengthen collaboration.
• Fair and market-based compensation: At TWINT, we are committed to a fair wage culture and fair pay. We also offer attractive additional benefits.
• Central locations : Our offices are located in the heart of Zurich and Bern and are easily accessible by public transport.