.Thanks to our innovative BuyNow PayLater payment solution, Scalapay is transforming the way more than 6.5 million customers buy online and in-store, empowering 8,000+ merchants (online and in-store) to give their customers magical shopping experiences.Being only 3 years old didn't stop us from becoming a unicorn We have raised over $700mln and we did this thanks to a team built around our 4 core values: #MakeItHappen #PlayAsATeam #StayCurious #FocusOnCustomer.This is where your magic happens. If you love it, Scalapay itThe MissionAs a Sr Fraud Risk Analyst, you'll be responsible for key KPIs for the company's loss metrics with a good balance of customer experience. You will be tasked to create and implement strategies, and closely collaborate with product managers, engineers and business stakeholders. You'll be responsible for detecting changed fraud trends, writing rules for different patterns and closely monitoring the solution performance.Key Responsibilities:* Maintain and refine the fraud strategy framework, including fraud model strategies and flash fraud surgical rules* Monitoring performance, detect early warning signals, and implement proactive measures to mitigate losses* Working closely with our Data Science team and third party providers to optimise our fraud risk models to keep the model strategy up-to-date with high performance* Identify trends and developing features by reviewing cases daily to timely capture flash fraud trends with quick response to stop loss leakage* Partnering with product and engineering team in implementing fraud features and models, and enhancing solutions* Master large volumes of data; extract and manipulate large datasets using standard tools such as SQL and Python* Gather and summarise data to provide information to the management team, prepare reports, and make presentations of findings, analyses, and recommendations.Preferred Qualifications:* 5+ years of relevant experience in the payment industry, financial services, ecommerce.* A bachelor's degree or equivalent in a relevant field, such as Math, Physics, Engineering, Finance, Business administration, or Economics* SQL and Python proficiency is a must.* Fundamental understanding of ML and base statistics.* Strong organisational and time management skills, with the ability to work effectively in a fast-paced environment.* Proven track record of successfully working within a cross-functional team and across multiple stakeholders and geographies to deliver project outcomes