Data Scientist
DailyPay
PythonSQLTableau
Salary
💰 $85,000 - $105,000 per year
Job Level
Senior
Tech Stack
PythonSplunkSQLTableau
About the role
- 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. 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. 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
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 Flexibility to work weekends and holidays Desirable Skills: 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
