Risk & Data Analytics Intern

03 ago - Turbigo
Scalapay

ph3Overview /h3 pScalapay is a fast-moving, tech-driven fintech company that values independent thought, innovation, ownership, and continuous learning. /p h3The mission /h3 pWe are looking for a brilliant and analytical Risk Management Intern to join our 2nd Level Controls function. Working directly alongside our Head of Risk, you will have the unique opportunity to dive deep into the risk management mechanisms of a high-growth tech company. /p h3Key Responsibilities /h3 ul liExtracting, manipulating, and processing large datasets of transactional and financial data to monitor key risk indicators (KRIs). /li liSupporting the monitoring of credit metrics (e.g., default rates, portfolio performance analysis by specific clusters and segments). /li liAssisting in the comprehensive monitoring and assessment of operational risks across the company's workflows and systems, and supporting the management, maintenance, and reporting related to the RAF (Risk Appetite Framework). /li li2nd Level Controls:



Participating in verification activities to ensure internal procedures comply with risk management policies and procedures. /li liDashboarding Automation: Contributing to the creation and maintenance of management reports and interactive dashboards for senior stakeholders, while driving initiatives to automate reporting processes and reduce manual data handling. /li /ul h3Minimum Qualifications /h3 ul liCurrently pursuing or completing a Bachelor’s or Master’s Degree in Economics, Finance, Statistics, Mathematics, Management Engineering, or equivalent quantitative fields. /li liA strong passion for data analysis and proficiency in spreadsheet modeling. Knowledge of SQL, Python, or data visualization tools (even from university projects/courses) is a strong plus. /li liSharp analytical skills, extreme attention to detail when working with numbers, and a proactive attitude. /li liFluency in English and Italian, as Scalapay operates in a fully international environment. /li /ul /p #J-18808-Ljbffr

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