As we grow and invest more in automating our processes, we are looking for an experienced analyst to join our growing team of Risk Analytics.
We are a data driven company with billions(!) of data points per year. If you are highly-motivated data enthusiastic with a proven track record in building automated risk strategies, scorecard and rules, if you are technical, creative and a team player – you belong with us.
This role will require a high level of adaptability, proactive attitude.
How youll make an impact:
Data analysts drive both strategic impact as well as operational impact for the domains they support
Work with Engineering Team to design decision and system logic
Perform hands-on risk analysis and provide insights from multiple sources to provide a comprehensive assessment
Collaborate with data engineers, software engineers and other stakeholders to create scalable data foundations.
We are a data driven company with billions(!) of data points per year. If you are highly-motivated data enthusiastic with a proven track record in building automated risk strategies, scorecard and rules, if you are technical, creative and a team player – you belong with us.
This role will require a high level of adaptability, proactive attitude.
How youll make an impact:
Data analysts drive both strategic impact as well as operational impact for the domains they support
Work with Engineering Team to design decision and system logic
Perform hands-on risk analysis and provide insights from multiple sources to provide a comprehensive assessment
Collaborate with data engineers, software engineers and other stakeholders to create scalable data foundations.
Requirements:
2-4 years of hands-on experience in data-driven processes and monitoring automation in the Payments Fraud / Risk Industry
High proficiency and ability to create complex optimized queries on SQL databases
Solid analytical skills, fast learner, problem-solver
Team player, proactive
Fluent English
Advanced data-related Python skills (Pandas, etc.) – a plus
2-4 years of hands-on experience in data-driven processes and monitoring automation in the Payments Fraud / Risk Industry
High proficiency and ability to create complex optimized queries on SQL databases
Solid analytical skills, fast learner, problem-solver
Team player, proactive
Fluent English
Advanced data-related Python skills (Pandas, etc.) – a plus
This position is open to all candidates.
