Rapyd Risk Data Analyst 

Israel 

640620616

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The role requires strong Data Analytics, Business Intelligence, and Visualization skills and the ability to explain complex situations and concepts through data-driven storytelling.

This role also has scope for building risk models for our existing portfolio of merchants to mitigate the existing financial risk. Modelers will be taking the responsibility of defining the problem statement, building the solution, and offering an optimal strategic approach to implement the solution within the existing ecosystem and showcase value addition.

The role will require coordination with teams within Risk and across Rapyd and managing senior stakeholders within the Risk function. You will need to work with Risk team members to understand their analytics and reporting requirements and build the same. You will be a key member of the team working in a fast-paced environment on impactful assignments with the exposure to work directly with senior management across the company.

Key Responsibilities

• Own (Build and maintain) the Risk reporting area for the Rapyd Global Risk team and publish reports aligning with the requirement timeline
• Perform analysis throughout the entire customer lifecycle, including acquisition, portfolio management, and collections providing actionable MI on all aspects of portfolio performance
• Provide support to the business by addressing inquiries and offering ad hoc insights into portfolio and strategies.
• Develop and maintain the Risk models used to manage customer credit and fraud risk in Rapyd including exposure and default methodologies and associated behavioral measures.
• Design, Development, and maintenance of analytical solutions related to Rapyd risk.
• Providing the business and other stakeholders with advice and support on model use, model impact, and model implementation
• Supporting external engagement and internal governance in relation to risk models and model frameworks

We’re looking for someone with moderate experience (Minimum 2-3 years) of working in a financial services / bank or fintech company with exposure to solving risk-related problems equipped with analytical and relevant skill sets.

Must haves

• Broad background in risk systems, methodologies, and processes in a retail or wholesale bank/fintech environment
• The ability to translate complex business problems into statistical solutions and be able to communicate the solution in a simple manner to the stakeholder
• Exceptional data-gathering skills and resourcefulness
• Experience in SQL and at least one other platform e.g. R / Python
• Experience working with GCP, establishing data pipelines
• Excellent problem-solving skills and the ability to identify alternative solutions
• Working experience in building analytical solutions and predictive models for risk-related business problems.
• Hands-on experience with at least one Visualization tool e.g. Tableau, Looker, Qlikview, Quicksight, etc.

Good to have

• Understanding of the Payment ecosystem (Online Payments) and how different companies play a role in the lifecycle of a payment.
• Understanding of Card Acquiring and the associated risks
• Experience/Understanding of default modeling