E-commerce Associate
WisePart Time
Entry Level & New Grad
Candidates must have 5+ years of experience in e-commerce, payments, or a risk-related industry, with a strong understanding of the e-commerce payments landscape. Proficiency in database languages like SQL and BI/reporting tools such as Looker, Tableau, or Splunk is required, along with strong analytical, critical thinking, and judgment capabilities. The role also demands the ability to manage multiple assignments independently, strong communication skills for stakeholder engagement, and flexibility to work weekends and holidays. Experience with large-scale data analysis tools like Python or R, and translating fraud trends into rule logic or feature suggestions are desirable.
The Senior Risk Analyst will conduct proactive risk analysis on large datasets to identify fraud trends and propose solutions. They will lead the development and implementation of new fraud prevention strategies based on identified trends and communicate findings to stakeholders. The role involves supporting Risk Operations by improving processes and tools, engaging with merchants on fraud and tool insights, and collaborating with teams to enhance machine learning model performance by suggesting new features or rules. Additionally, responsibilities include translating analysis into actionable insights for reports and presentations, assisting with special projects, managing relationships with internal and external partners, and taking ownership of tasks to achieve objectives independently.
Fraud protection for online retailers
Signifyd specializes in fraud protection for online retailers, helping them detect and prevent fraudulent activities. The company provides a platform that uses machine learning and artificial intelligence to analyze transactions in real-time, identifying potential fraud. This service allows retailers to reduce chargebacks and approve more legitimate orders, ultimately increasing their revenue. Signifyd differentiates itself by offering a financial guarantee on approved transactions, meaning they will cover costs if a transaction they approve is later found to be fraudulent. This added security builds trust with clients. Operating globally, Signifyd ensures transparency with real-time data on system performance, allowing retailers to focus on their core business without the constant worry of fraud.