Senior Risk Analyst

Summary

Join a team of fraud experts at Signifyd and advance payment risk decisioning. Conduct proactive risk analysis on large datasets, identifying and extrapolating fraud trends to propose effective solutions. Develop fraud prevention strategies, improve risk operations, and engage with merchants. Collaborate with machine learning teams to enhance model performance and translate analysis into actionable insights. Assist in special projects and build relationships across internal and external teams. Take ownership of tasks and work independently in a remote environment.

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

• Conduct proactive risk analysis on large datasets to identify and extrapolate fraud trends, proposing refined and effective solutions
• Identify fraud trends, document findings, communicate insights, and lead the development and implementation of new fraud prevention strategies
• Support Risk Operations through identifying and implementing process and tool improvements
• Lead fraud and tool insights conversations with potential and existing merchants to assist internal teams
• Identify ideas for new Machine Learning features or rules, collaborating closely with other teams to improve model performance
• Translate analysis into actionable insights for fraud mitigation initiatives, ad-hoc reports, and presentations
• Assist in special projects and ad-hoc assignments as requested
• Build lasting relationships across internal teams and with our external partners, fostering a collaborative environment
• Expected to take ownership of your tasks and work independently to achieve objectives within a remote environment

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