Risk Data Analyst

Rapyd has unified payments, payouts and fintech on one worldwide platform, and we’re assembling the world’s best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities at Rapyd are limitless.

We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let’s build the future of fintech together.

Get the tools to grow globally at www.rapyd.net. Follow: Blog, Insta, LinkedIn, Twitter

We are looking for a sharp and passionate Data Analyst to join our top-notch data analytics team.

In your role you’ll be responsible for developing, publishing, and fine-tuning the analytics and reporting requirements for the Global Risk team. This role also has scope for developing risk models for our existing portfolio of merchants to mitigate the existing financial risk. You’ll be a key member of the team working in a fast-paced environment on impactful assignments with the exposure to work directly with senior management across the company

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Key Responsibiliti

• esAnalyze customer lifecycle stages including acquisition, portfolio management, and collections, providing actionable insights on portfolio performan
• ceDevelop and maintain the risk models used to manage customer credit and fraud risk in Rapyd, including exposure and default methodologies, and associated behavioral measur
• esCreate Looker dashboards and reports to visualize key metrics, trends, and performance indicato
• rsAdvise business and stakeholders on model usage, impact, and implementati
• onSupport business operations by resolving inquiries and providing ad-hoc insights into portfolio strategi
• esDesign, development, and maintenance of analytical solutions related to Rapyd ri

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Requiremen

• ts:3-5 years of professional work experience as a Risk/Fraud/Business/Data Anal
• ystHigh proficiency in SQL and experience in querying large and complex data sets - a m
• ustStrong skills in Python for data analysis - a m
• ustExperienced with BI and data visualization tools - a m
• ustKnowledge of payment ecosystem and risk fields - a big advant
• ageWorking experience in building analytical solutions and predictive mod
• elsManage multiple tasks at a time in a fast-paced environm
• entExceptional ability to understand data and to transform it into insig
• htsTeam player with strong storytelling ski
• llsStrong communication skills and fluent Engl
• ishBA/BSc in Statistics/Industrial Engineering/Economics or other quantitative fie

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