iwoca

Performance Marketing

• Build and execute growth plans: drive sustainable growth on Bing and support expansion into new channels such as ChatGPT Ads, YouTube, Display, and Google Demand Generation.
• Launch, optimise, and scale campaigns across Google Search, Performance Max, YouTube, and Bing.
• Maintain account hygiene: manage keywords, improve relevance and quality scores, optimise ad extensions, and consolidate low-volume keywords.
• Support testing and insights: design and analyse A/B, multivariate, and geo tests; run landing page experiments using Webflow and translate data into actionable improvements.
• Contribute to creative: assist in developing text, image, and video ads; share performance insights to improve campaigns.
• Monitor and report: track granular campaign performance, build dashboards, and collaborate with Acquitech to ensure data accuracy.

Senior Paid Search Executive

Manager

• Identify and assess new fraud scenarios such as identity theft (impersonation), social engineering, and account takeover (ATO).
• Formulate and adapt the operational fraud strategy specifically for the German market to maintain an optimal balance between risk and conversion.
• Design efficient technical verification processes that protect the business without creating unnecessary friction for our customers.
• Take responsibility for the operational review of fraud tasks and suspected cases.
• Collaborate with tech and data teams to develop and implement automated detection mechanisms, including AI and machine-learning models as well as rule-based systems.
• Evaluate, select, and implement innovative external technologies to optimize our fraud prevention tools.
• Develop and lead training programs for our operations teams to raise awareness of fraud cases.

Fraud Manager

• Identify and evaluate emerging fraud scenarios such as impersonation, social engineering, and account takeover (ATO).
• Formulate and adapt the fraud strategy specifically for the German digital lending market to maintain an optimal balance between risk and conversion.
• Design efficient verification processes that protect the business without adding unnecessary friction for our customers.
• Partner with Tech and Data teams to implement automated detection mechanisms, including machine learning models and rule-based systems.
• Guide the selection and introduction of innovative technologies to optimise the fraud prevention toolkit.
• Develop and lead training programs to raise fraud awareness across the company and with our external partners.