Developing, implementing, and maintaining short-term and long-term risk strategies to address scam sellers as well as counterfeit, and prohibited and controlled goods.
Working with various business, technology, and security/risk stakeholders to identify risks, conduct quantitative analysis, and develop strategies to protect the ecommerce platform and its users.
Leveraging large data sets and analytical tools to develop evidence-based, automated risk strategies, while working closely with algorithm teams and Security Operations teams on the execution of these strategies.
Establishing metrics to monitor and communicate results for various risk strategies.
Executing communications and stakeholder engagement with C-level leadership across ventures and with regional teams.
To succeed in the role, you should ideally have:
2+ years of analytics skills with a strong quantitative background and experience using data to create and improve business strategies.
Strong project management skills, with experience in collaborating with different business functions and key stakeholders.
Strong communication skills, with experience in involving technical and regional/local venture counterparts, coordinating multiple stakeholders, and reporting to large audiences or senior management.
Experience with SQL and analytical tools (SAS, R, Python).
Experience with AI, machine learning, or deep learning techniques a plus.
Experience with Hadoop (Hive, Pig, HBase, MapReduce, Spark) a plus.
Experience in the e-commerce industry a plus.
McGregor Boyall Associates Pte Ltd is an equal opportunity employer and do not discriminate on any grounds.
EA Licence No: 11S4330
Internal Number: 5205185
About McGregor Boyall Associates Pte Ltd (Singapore), EA Licence No: 11S4330
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