Senior Risk Analyst, Signifyd

• The right candidate is an experienced fraud fighter with a love for learning, problem solving, and not afraid of a challenge
• 5+ years experience in e-commerce, payments or risk-related industry with either traditional and non-traditional payment methods
• Strong understanding of ecommerce payments landscape
• Strong analytical skills and an understanding of how to utilize data to target improvements and solve problems
• Experience with database language (e.g., SQL) as well as BI and reporting tools (Looker, Tableau, Splunk, etc.)
• Strong critical thinking skills with advanced judgment capability
• Ability to manage multiple assignments while working independently
• Strong communication skills with internal and external stakeholders
• Flexibility to work weekends and holidays

Desirable

• The Risk Intelligence organization at Signifyd is responsible for proactively detecting and continuously monitoring fraud activities to mitigate immediate financial losses and protect portfolio health
• This team partners closely with Data Science to improve machine learning (ML) model performance by providing continuous feedback on model outputs and identifying areas for enhancement using real-world fraud patterns and merchant feedback
• We enhance detection mechanisms to reduce friction for merchants and their customers while driving revenue
• We build trust through responsiveness and expertise, fostering stronger merchant relationships
• We demonstrate the value of fraud prevention solutions in driving revenue growth and reducing losses
• As the Sr. Risk Analyst, you will join a team of talented and dedicated fraud experts who play a pivotal role in fighting fraud, helping our customers succeed and that sit at the intersection of all of Signifyd's data, technology, processes, and business contracts
• Your work will make a big impact in advancing payment risk decisioning to the next level
• They enjoy being part of a close knit team and working on multiple projects simultaneously without compromising quality
• Our work involves quantifying and controlling the risks introduced by bad actors, turning unpredictability into manageable outcomes
• Risk Analysis & Solutioning: Conduct proactive risk analysis on large datasets to identify and extrapolate fraud trends, proposing refined and effective solutions
• Fraud Strategy Development: Identify fraud trends, document findings, communicate insights, and lead the development and implementation of new fraud prevention strategies
• Operational Improvement: Support Risk Operations through identifying and implementing process and tool improvements
• Merchant Engagement: Lead fraud and tool insights conversations with potential and existing merchants to assist internal teams
• Machine Learning Collaboration: Identify ideas for new Machine Learning features or rules, collaborating closely with other teams to improve model performance
• Actionable Insights & Reporting: Translate analysis into actionable insights for fraud mitigation initiatives, ad-hoc reports, and presentations
• Project & Ad-Hoc Support: Assist in special projects and ad-hoc assignments as requested
• Relationship Management: Build lasting relationships across internal teams and with our external partners, fostering a collaborative environment
• Ownership: Expected to take ownership of your tasks and work independently to achieve objectives within a remote environment