15 ene
Signifyd
Xico
As the Sr.
Risk Analyst, you will join a team of talented and dedicated fraud experts who play a pivotal role in fighting fraud and helping our customers succeed.
Your work will make a big impact in advancing payment risk decisioning to the next level.
The right candidate is an experienced fraud fighter with a love for learning, problem solving, and not afraid of a challenge.
They enjoy being part of a close knit team and working on multiple projects simultaneously without compromising quality.
Here's more of what you will get to do: Perform proactive risk analysis to identify and extrapolate fraud trends & propose effective and refined solutions in large data setIdentify fraud trends, document and communicate findings,
and lead in the development and implementation of new fraud prevention strategiesSupport Risk Operations with process and tool improvementsAssist our internal teams by leading fraud and tool insights conversations with potential and existing merchantsIdentify 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 presentationsAssist in special projects and ad-hoc assignments, upon requestDevelop and maintain strong relationships with internal teams and external business partnersRequired skills that will allow you to thrive in this role: 5+ years experience in e-commerce, payments or risk-related industry with either traditional and non-traditional payment methods.Strong understanding of ecommerce payments landscapeStrong analytical skills and an understanding of how to utilize data to target improvements and solve problemsExperience with database language (e.g., SQL) as well as BI and reporting tools (Looker, Tableau, Splunk,
etc.
)Strong critical thinking skills with advanced judgment capabilityAbility to manage multiple assignments while working independentlyStrong communication skills with internal and external stakeholdersFluent in EnglishFlexibility to work weekends and holidaysDesirable 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 suggestionsAll resumes should be submitted in English.
All interviews will be conducted in English.
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