We’re looking for a decision scientist to build data-driven fraud prevention strategies that protect our customers while ensuring seamless transactions.
If you love analyzing data, identifying fraud patterns, and solving complex risk challenges, this role is for you!
Responsibilities:
Analyze key performance indicators (KPIs) and financial/operational metrics to improve fraud prevention strategies.
Develop predictive models and risk analytics solutions to support clients’ global risk management efforts.
Drive cross-functional collaboration with product, engineering, and business teams to implement data-driven decisions.
Use SQL, Python, R, and machine learning techniques to refine risk assessment models.
Communicate insights effectively with stakeholders and present data-backed recommendations to senior leadership.
Required Skills:
1 year of experience in decision science, risk analytics, fraud prevention, data science, or financial risk management.
Proficiency in SQL, Python, R, or other data analysis tools.
Ability to analyze large datasets, identify fraud patterns, and develop predictive models.
Strong communication and storytelling skills to translate insights into actionable strategies.
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