Regional Fraud Specialist

Launched in 2012, Daraz is South Asia's online shopping and selling destination of choice – present in Pakistan, Bangladesh, Sri Lanka, Myanmar, and Nepal. Supported by a wide range of tailored marketing, data, and service solutions, the pioneering e-commerce ecosystem in South Asia has 30,000 sellers and 500 brands, serving 5 million consumers. With 2 million products available, Daraz offers a diverse assortment of products in categories ranging from consumer electronics to household goods, beauty, fashion, sports equipment, and groceries. Focused on providing an excellent customer experience, it offers multiple payment methods including cash-on-delivery, comprehensive customer care, and hassle-free returns. Daraz is owned by Alibaba Group Holding Limited.

Job Responsibilities

• Own key, high-impact domains spanning 5 countries and multiple stakeholders, including day-to-day oversight of the buyer fraud domain.
• Provide general support and guidance to the buyer fraud team.
• Investigate suspicious trends, orders, selling and buying behavior, conduct root cause analysis on suspected cases.
• Extract, deep-dive into, & manipulate large sets of data organized, in a well-structured data warehouse designed for exploration and functionality using various tools available in Alibaba’s ecosystem.
• Liaise with business units to recommend and drive implementation of fraud-mitigating strategies and policies which directly and significantly reduce our risk profile.
• Build, maintain and produce reports and dashboards that give key insights to colleagues from all departments at Daraz, including senior management, and prepare business cases to support strategic business decisions.
• Work with the fraud manager and different teams across the company to innovate and implement tools to drive business performance improvement and cost efficiencies.

Candidate Requirements

• More than 3 years of related work experience is desirable, especially in analytical fields like data science, consulting, finance, etc.
• Bachelor’s degree from a top university in a quantitative subject - a background in engineering, business intelligence, data science, mathematics, economics, statistics or computer science preferred.
• Strong numerical and reasoning skills are essential.
• Advanced skills in Microsoft Excel and proficiency in SQL are essential.
• Go-getter attitude, willing to immerse themselves in the business, with a proactive approach to getting things done - results-oriented, detail-oriented and self-driven.
• Superior organizational skills to manage multiple priorities to tight deadlines and the flexibility to adapt to changing scope.
• Excellent verbal and written communication skills, with the ability to successfully negotiate with different stakeholders across various businesses.
• Prior experience working with automation tools such as Python will be a plus.