Travix is one of the leading global online travel agencies managing an extensive portfolio of travel-focused websites operating under the brand names CheapTickets, Vliegwinkel, BudgetAir, Flugladen and Vayama. All our brands provide both search and book capability for flight combinations worldwide on both legacy and low cost airlines. In addition, our booking websites offer attractive pricing for hotels, rental cars and other ancillary products such as insurances, airport parking & transfers. We operate our five brands in over 40 countries; employ more than 550 people with over 50 different nationalities worldwide.Senior Fraud Analyst
At Travix we take great pride in building strong Teams & processes - powered by the latest technology - from the ground up, ensuring achieving our long-term objectives.In our Payments & Fraud Team we take great pride in our shift to putting Data at the heart of everything we do - hence you will be liaising with our Data-Science Team and with our External Payment partners and suppliers - ultimately ensuring Travix has the best results through an adequate Fraud prevention framework.
As a Senior Fraud Analyst - at the core:
You will have a distinct and solid understanding of Fraud Prevention within Online Payments (eCommerce) and/or the Online Travel space
You will support connecting our Strategic plan with tangible and tactical Execution planning
Supporting defining the goals, success criteria & readiness assessment
You will join our Global Shield Team: highly skilled & dedicated Fraud Prevention, Chargeback management and Data-Science professionals committed to Pioneering Excellence, powered by our Positive Passion to achieve great results.
You will support ensuring readiness of our Fraud prevention platform & framework aligned with Travix`s Global expansion & ambitions
You will be joining at a critical moment in time supporting 1st hand our transformational journey towards putting Data & Analytics at the core of the Fraud Prevention - and experimenting with Artificial Intelligence and Machine Learning concepts with a goal to transforming data into insights and Execution plans
You will be effectively empowered to assume ownership and responsibility over our Fraud prevention Framework & process committed to generating further stakeholder value and capture lost revenues
You will support maintaining a strong balance between Fraud Prevention & valid revenue loss.
Areas of responsibility:
Real-time fraud prevention & online bookings review (Complex fraud cases) & active Fraud Prevention Team support
Analytics on complex fraud trends, managing complex data sets, data modelling
Fraud platform: Rules configuration & performance monitoring - a critical component of Travix`s environment
Data-Analytics & Research - AB testing - Implementation - Performance monitoring
Create statistical models on all reported fraud cases and chargebacks to identify new and emerging fraud patterns & trends;
Lead & Support the transformational journey to putting Data & analytics at the core of our Fraud prevention strategy
Analyze Business-unit performance, trend analysis, benchmarking and prepare tactical execution plans on improvement areas
Actively engage cross-Team, Cross-Department to decrease overall Fraud & Chargeback levels (fraud prevention, payments, technical, product, commercial Teams) - within acceptable Card-scheme program levels
Card-scheme Fraud & Chargeback programs monitoring (using acquiring Chargeback data & SAFE & TC40 fraud data)
Processes owner and actively seeking to engage Team and improve
Team coaching & mentorship. Team training
Cross functional connections:
Internally: You will liaise cross-department and discipline with our Chargeback management, Data-Science, Payments Operations and IT Delivery organization
Externally:: You will engage and own our 3rd party suppliers for Fraud prevention Platform Providers & Acquiring Partner Peer Departments in your area of responsibility (Risk management)
You will actively participate at Industry events and engage with network peers ensuring visibility of Travix brand and attracting top-talent
Core competencies & experience:
Quick quality decisions - real time environment
Analytics & critical (structured thinking) coupled with logical reasoning
Data driven, Data management, Research, Problem solving
Industry experience within Online Travel specifically or Payments vertical
Putting Data at the heart of your business-unit and decision making
Leadership, Coaching, Team building skills - Support managing performance
Commitment to Excellence, Change management, Strategic thinking
Actively seeking new ways of working to improve productivity
Helping others to manage the emotional impact of change
Embracing change and proposing more effective ways of working
Self starter, Self organizing, Minimum supervision
3-5 years working experience in a similar role
Qualifications & expertise:
Education: BSc in Econometrics, Statistics, Mathematics or related field
Must have: Excel (Pivots & Functions), MySQL
Nice to have: Working with Python, R and similar
Certifications (Nice to have)
CFE - Certified Fraud Examiner
Card-scheme certifications in the area of expertise
What you can expect?
Competitive salary, holiday allowance, and other amazing benefits!
Covered travel costs, discounted ongoing cancellation / travel insurances!
A multinational team of specialists to inspire and support you!
Follow fun Dutch language courses @ Travix with your colleagues!
There’s a good deal of room to be creative and to build your legacy
30.5 days of paid leave, plenty of time to enjoy your global travel adventures
Top floor offices in the centre of Amsterdam, next to Central Station!
Nice to have perks: Free fruit, company bar & free beer, foosball / table tennis competitions, great company events, good food and team activities
Of course you are! Do you recognize yourself in the above profile, we look forward receiving your application by clicking the “apply now” button. This is what our recruitment process looks like!
For this position a certificate of good conduct (VOG) is necessary, as you will be working with confidential data.
For further information on this opportunity please contact: firstname.lastname@example.org