The role involves being an individual contributor within the Risk Management & Data Science team at Zip, focusing on enhancing credit risk management, fraud control, and credit decisioning capabilities. The responsibilities include ownership of analytics across the credit risk domain, assessing portfolio performance, and providing insights to executive management. This position allows for engagement with a diverse range of stakeholders and opportunities to address various challenges in credit risk analytics. The environment encourages experimentation and improvement of analytical capabilities to positively impact business initiatives.
Required Qualifications and Skills The position requires proven experience as a risk or data analyst, specifically in the unsecured lending space, with strong SQL skills. Candidates should have a proactive approach to influencing decision-makers and improving credit risk results, alongside experience in creating data visualization dashboards. Familiarity with problem-solving in the collections domain is advantageous, and while exposure to data tools like DBT is desired, it is not an absolute requirement. Candidates should demonstrate an aptitude for risk management and alignment with the company's core values.
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Zip (ASX:ZIP) is a digital financial services company providing access to seamless solutions that simplify how people pay.Founded in Australia in 2013 and with a focus on two core markets Australia and New Zealand (ANZ) and the US, our mission is to be the first payment choice, everywhere and every day. We connect millions of customers with tens of thousands of global merchant partners, providing our customers with transparent and flexible payment options, and helping our merchants to grow their businesses and be better focused on their customers.We exist to create a world where people can live fearlessly today, knowing theyre in control of tomorrow. Disrupting the traditional credit models, we put the financial well-being of our customers and merchants at the centre of everything that we do.
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