Senior Risk Analyst

Summary

Join Signifyd's team of fraud experts as a Sr. Risk Analyst and play a pivotal role in combating fraud and enhancing customer success. You will leverage your expertise to advance payment risk decisioning, analyze large datasets to identify fraud trends, and develop innovative prevention strategies. This role requires strong analytical and communication skills, experience with data analysis tools, and the ability to manage multiple projects simultaneously. The ideal candidate is a proactive problem-solver who thrives in a collaborative environment. Signifyd offers a comprehensive benefits package including health insurance, paid time off, performance bonuses, and flexible work arrangements.

Requirements

• 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
• Fluent in English
• Flexibility to work weekends and holidays

Responsibilities

• Perform proactive risk analysis to identify and extrapolate fraud trends & propose effective and refined solutions in large data set
• Identify fraud trends, document and communicate findings, and lead in the development and implementation of new fraud prevention strategies
• Support Risk Operations with process and tool improvements
• Assist our internal teams by leading fraud and tool insights conversations with potential and existing merchants
• Identify ideas for new Machine Learning features or rules, working closely with Decision Science teams to improve model performance
• Turn analysis into actionable insights for fraud mitigation initiatives, ad-hoc reports and presentations
• Assist in special projects and ad-hoc assignments, upon request
• Develop and maintain strong relationships with internal teams and external business partners

Preferred Qualifications

• Experience in large scale data analysis, tools, and processes. (e.g. Python, R)
• Experience with translating fraud trends into rule logic and/or feature suggestions

Benefits

• Health, Dental & Vision Insurance
• Life Insurance of 24 months salary
• Annual Performance Bonus
• Christmas Bonus of 1 Month’s Salary
• Food Vouchers
• Stock Options
• Paid Parental Leave
• Flexible Work Arrangements
• Telework Stipend for Home Internet
• 12 Paid Vacation Days with 85% Vacation Premiums
• Paid Holidays
• Company Social Events
• Signifyd Swag
• Dedicated learning budget through Learnerbly
• On-Demand Therapy for all employees & their dependents