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IDnow provides a leading Identity Verification-as-a-Service (lVaaS) platform, which is used across industries conducting online customer interactions that require a high degree of security. The service uses artificial intelligence to check security features on ID documents. All IDnow products Combine government-grade protection against identity fraud with best in class conversion rates for customer onboarding. IDnow covers a wide range of use cases and the platform allows the identity flow to be adapted to different regional, legal and business requirements on a per use case basis. Founded in 2014, we already count a large and fast growing team of 300 colleagues from 35 different cultures. The portfolio of over 250 customers includes leading international companies such as Bank of Scotland, BNP Paribas, Commerzbank, N26, Telefónica Deutschland and Wirecard.

With IDnow VideoIdent, large banks and FinTechs can verify the identity of their customers in just a few minutes - conveniently, securely and legally. Adoption of VideoIdent product leads to a significant increase in the conversion rate compared to traditional offline methods. It combines AI-based technology with the expertise of highly qualified Ident specialists.

Tasks

  • Responsibility for modelling data based on existing issues related to all IDnow products
  • Identify patterns and connect different pieces of information to deliver unobvious insights by drawing information from diverse and varied sources
  • Develop models and product recommendations based on all product telemetry data that have a positive impact on various customer KPIs like conversion rates, automation rates, reduction in cancellation rates
  • Independently develop ideas on how to create added value by using existing or new data sources
  • Support the teams from the mentioned areas in the statistical validation of the test results
  • Define strategies, hypotheses and experiments together with their potential impact on clearly defined growth objectives
  • Define product KPIs, analyze, monitor and make them accessible in self-service dashboards and reports to make performance and optimizations visible throughout the company
  • Communicate and interact regularly with various stakeholders 
  • Conduct pricing sensitivity analysis
  • Represent IDnow in different data science communities

Qualifications

  • Degree in Management, Economics, Mathematics, Engineering, Computer Science or related fields
  • You have at least 2 years of experience in data science / data analysis
  • You have advanced knowledge and practical experience of statistical methods (algorithms, data mining)
  • You know Python and even SQL databases are not foreign to you
  • Ideally you have experience in dealing with analytical platforms
  • You have worked with tools like Tableau, Google Analytics
  • You have a quantitative, analytical mindset with strong business intuition. You derive maximum impact business recommendations based on data-driven analysis
  • You take the initiative and are willing to act based on data
  • Fluent English skills

We offer

  • Employment in a strong, expanding company with experienced, motivated colleagues in the heart of Munich
  • Work on state-of-the-art technologies in an exciting, innovative environment
  • Modern hardware with set-up à la carte
  • Start-up spirit: Flat hierarchies, relaxed and professional working atmosphere
  • Culture of ownership/accountability, transparency and respect

Our technologies

  • Backend: Java, Jetty, REST, SOA, WebRTC, MySQL, nginx, Ubuntu
  • Monitoring / Logging: Zabbix, Logentries
  • Deployment: Git, Jenkins, Docker
  • Environment: Continuous Integration with Dev, Testing, Produktive environment

 

We look forward to receiving your compelling application with a possible start date and salary expectations. 

In case you have further questions, please feel free to contact Andrea Keßler at +49 89 413 24 6050.