Senior Manager, CX Consumer Analytics
Coinbase
PythonSQLTableau
Job Level
Mid-LevelSenior
Tech Stack
PythonSplunkSQLTableau
About the role
- Build and maintain fraud rulesets to prevent transaction level fraud losses, including ongoing monitoring and measurements of precision and recall.
- Conduct advanced data analysis of structured and unstructured data sets to proactively identify emerging fraud attacks impacting Stripe and its users.
- Collaborate closely with product, risk, and operations teams to proactively identify and mitigate fraud exposure.
- Investigate, conduct root cause analysis, and deploy remediations to prevent future complex and distributed fraud attacks.
- Investigate and take action against anomalous clusters of transactions based on account activity, processing volume, or other risk indicators while minimizing negative impacts to Stripe users.
- Respond to incidents involving complex fraud schemes to quickly mitigate exposure to Stripe, its users, and financial partners.
- Utilize analytics to identify and implement initiatives to automate manual processes and workload across the organization.
- Create visualizations, dashboards, and queries to drive visibility and oversight into impact, performance, loss risks, and user experience.
- Utilize Stripe tools & systems to enable systematic actioning of fraudulent merchants, maintaining an extremely high level of accuracy to prevent negative user experience.
Requirements
- A minimum of five years of experience conducting advanced data analysis & managing transaction fraud rulesets.
- Advanced level proficiency in SQL.
- Experience writing, maintaining, and analyzing complex fraud rulesets and minimizing fraud losses while reducing user impact.
- Experience working closely with modeling, data science, and intelligence stakeholders to implement automatic & scaled controls & processes.
- Experience creating data visualizations and dashboards and presenting findings to technical and non-technical audiences, including senior leadership.
- Ability to drive execution on projects in a heavily cross-functional environment.
- Creativity, team-focused mentality, and effective problem solving skills.
- Ability and desire to question the status quo.
- Ability to approach challenges from a user perspective while being pragmatic & solutions oriented.
- Preferred: fraud experience in payments, e-commerce, fintechs, or cryptocurrency mitigating digital/card-not-present fraud.
- Preferred: Experience investigating and mitigating card testing and account takeover attacks.
- Preferred: Proficiency in Splunk, Python, Tableau, or other data visualization tools.
- Preferred: Undergraduate or advanced degree in analytics, data science, or statistics.
- Preferred: Experience with clustering, classification, & link analysis.
- Preferred: Experience working in fast-paced and rapidly changing environments.
- Preferred: Experience designing and implementing product level fraud and risk controls.
- Include your resume and LinkedIn profile in your application.
