Fraud Analyst at Duffel analyzing data and formulating rules to mitigate fraud risks. Collaborating with engineering and data science to enhance fraud detection in travel industry.
Responsibilities
Identify fraud trends and develop a deep understanding of fraudulent behaviour on our platform through SQL, Google BigQuery, and Google Looker
Formulate rules based on your analysis to mitigate fraudulent behaviour across our platform
Carry out investigations of escalated cases related to potential misuse of our platform and assist with legal and customer enquiries
Partner with our data science and engineering teams to advance our technological approaches to identifying fraudulent activity
Work closely with engineering to enhance internal tools and databases that enable us to combat fraud and scale effectively
Act as a key resource for other departments by providing analysis of customer and booking behaviour on the platform
Present and communicate the results of analyses and investigations to stakeholders across the company
Requirements
You have experience in data analytics or a similar analytical role (through formal education or practical experience)
You're comfortable working with and interpreting large datasets
You have a knack for answering difficult questions using data and translating complex findings into clear, actionable reports
You're proficient in writing queries and preparing reports using SQL or similar
You're motivated by self ,learning and growing your skills when faced with new challenges
You can manage multiple priorities effectively with a proactive, forward ,thinking mindset
Prior knowledge of formulating rules to combat fraudulent behaviour or experience in travel/payments
Benefits
💰 Competitive salary + equity (you'll own part of Duffel)
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