Senior Fraud Data Analyst
Luxembourg, Luxembourg, Luxembourg
Our Company
Satispay is an Italian Scale-up operating in the mobile payment industry. Having created a payment system independent from debit and credit cards, Satispay allows users to pay stores or friends from their smartphone. Our offices are in Milan, Luxembourg City and Berlin.
More than just an App, Satispay is a Company, a group of creative, curious, enthusiastic people determined to make an impact in everyday life! Simplify payments to improve everyone’s life is the vision driving our strategy. Do it smart, Be Responsible, Believe are the values in the core of our Business, see more about our Culture: https://www.satispay.com/en-it/values/
If you want to know more about us, give a look here:
www.satispay.com
www.crunchbase.com/organization/satispay
And if you still don’t have a Satispay account, download the app and sign up with the promo code TALENT
What you will be doing
The chosen candidate will become part of the Data Analytics team, working closely with stakeholders in Fraud, Product and Engineering teams to identify business needs and analytics opportunities. In particular, you will carry out the following activities:
- Work closely with Fraud department to understand new fraud threats and propose/implement controls and mitigation plans
- Ability to identify risks pertaining to campaigns run by the business and provide relevant feedback to the program leads
- Contribute to projects that reduce fraud related losses while maintaining focus on a positive customer experience
- Use a combination of manual and automated tools to proactively analyze complex data
- Work effectively with team members and Fraud department by sharing ideas and knowledge in a constructive and positive manner
- Optimize existing methods, processes and tools used to detect, prevent and recover losses due to fraud
- Conduct analytics to extract insights from big data and communicate with relevant stakeholders for strategic decision making
- Works with Product teams to identify gaps, as well as optimize and innovate existing controls
- Contribute to Satispay’s growth through collaborating, interviewing, on-boarding and/or other recruitment efforts
What we need
We are looking for brilliant talents willing to share our enthusiasm and passion for Satispay’s project. If you're looking for a job where you challenge yourself, learn and professionally grow, Satispay is the right place for you! Joining Satispay means being a leader of change and innovation. Help us revolutionise everyday transactions by making payments as easy, cheap and secure as possible.
Our ideal candidate will have:
- At least 3 years of knowledge and experience with regard to the fraud domain (both analytical and case management), preferably in the payment industry
- BSc, MSc or equivalent, preferably in Computer Science, Engineering, Criminology, Physics, Econometrics, Economics or comparable
- Strong analytical mindset, ability to use SQL, Excel, Visualization tools to translate data to identify business problems/solutions
- Knowledge of scripting (Python/PySpark/Pandas/R) and ability to create notebooks for efficient querying is also desirable
- Must have strong decision making ability and be self-disciplined
- Resilient and able to work in a fast paced environment managing large volumes of risk
- Trustworthy and highly accountable character
- Strong communication skills
- Ability to prioritize incoming escalations and requests appropriately using clear communications
- Highly proactive individual that can work both independently and collaboratively
- Ability to drive projects to conclusion
- Comfortable and fluent in English, both written and spoken
- Strong commercial attitude/business-driven and interest
- Experience in the fintech industry is a plus
- Currently living in Luxembourg or willing to relocate to Luxembour
Logistic & Salary
The role is based in Luxembourg.
We offer a competitive salary, commensurate with experience.Stock options plan available.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data Analytics Econometrics Economics Engineering Excel FinTech Pandas Physics PySpark Python R SQL
Perks/benefits: Career development Competitive pay Equity
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