Job Description

Summary

Your mission

As an Anti-Fraud Specialist at Bitpanda, your mission is to monitor and investigate online transactions for fraud, scam, and money laundering patterns in order to mitigate suspicious behavior. You are proactive in your approach to spotting unusual activities and drive for creative resolution and prevention techniques. 

What youll do

  • Investigate banking, credit card, and crypto transactions in order to detect and analyze suspicious behavior.
  • Take ownership of Fraud/Scam investigations for online transactions that require further checks.
  • Provide input and feedback toward system and process improvements.
  • Grant operational internal & external support while meeting established SLAs.
  • Create ad hoc reports describing the latest fraud groups/scenarios using various tools and systems.

Who you are

  • Passionate about fraud prevention, proactive intervention methods, and hungry to make an impact.  
  • Relevant experience in fraud prevention in a cryptocurrency/Fintech company.
  • Thrive in an ever-changing environment where you enjoy working on various projects with multiple stakeholders, and are adaptable to different work volumes.
  • Flexible to work various shift patterns (e.g. 7am to 3pm and 3pm till midnight, or night shifts 11pm to 7am) as well weekend shifts.
  • Proficiency in Chainalysis; knowledge of SQL would be a plus.
  • *The internal job title for this role is: Risk & Payments Specialist

Whats in it for you

  • Hybrid-working model with 60-Work From Anywhere days 
  • Total compensation package including participation in our Bitpanda stock option plan
  • Competitive benefits programs and policies shaped by our flexibility-first philosophy 
  • Exclusive premiums when trading on Bitpanda
  • Company-wide and team events both in-person and virtually!
  • Bitpanda swag to keep you living the brand

And, above all, the opportunity to learn and grow as part of Bitpandas incredible journey towards being Europes future #1 investment platform.

Skills
  • Risk Analysis
  • SQL
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