Risk Management Specialist
1 month ago
You will work in collaboration with our customers and account managers to maximize the value delivered by our email-based risk assessment solution. Your results will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses, and increased customer profitability.
This is achieved through a range of activities, including proactive analysis of accounts to identify improvements, optimizing the risk assessment to more accurately detect high-risk transactions, and providing thought leadership to customers during business reviews.
We are looking for individuals with a proactive and analytical approach to problem-solving, a good consulting mindset, and an interest in bringing value to our customers. In this role, you'll experience how to leverage real-time digital identity intelligence, analyzing millions of transactions per month for some of the largest companies operating in Financial Services, Insurance, and e-Commerce.
Responsibilities- Supporting business reviews for key accounts through the creation and presentation of analytical insights relating to the customers' deployment.
- Conducting proactive monitoring and analysis to ensure key customers' solution performance is maintained and improved.
- Performing targeted rule adjustments to help our customers address emerging risks.
- Developing an action plan for key customers which improves their maturity on the solution, providing business support through fraud analysis and research.
- Conducting routine fraud review verification and ensuring corrections/clarifications are made in a timely manner.
- Improving fraud detection performance by optimizing the false positive/fraud capture rate. Utilizing various data workflow management and analysis tools.
- Demonstrate proficiency with languages such as SQL, Python, etc., and various data types and formats including XML, flat files, delimited, etc.
- Demonstrate proficiency with data analysis tools and processes.
- Demonstrate good research skills and interest in fraud analysis for real-life scenarios.
- Demonstrate good oral and written communication skills in English; other languages are ideal.
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