.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 it.The Mission As 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.Monitor performance, detect early warning signals, and implement proactive measures to mitigate losses.Work 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 develop features by reviewing cases daily to timely capture flash fraud trends with quick response to stop loss leakage.Partner with product and engineering teams 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, or 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.Why you should join Scalapay: Attractive packages based on skills and experience.International environment with significant challenges to be met every day.Lots of opportunities to work with a team of industry tech leaders who are focused on delivering products that offer exceptional user experiences