
Senior Fraud Detection Specialist
5 days ago
Job Overview
As a Senior Fraud Detection Specialist, you will play a critical role in maintaining the effectiveness of investigation tools and technologies, data processes, and reporting that delivers robust and timely data insights to stakeholders.
The ideal candidate will thrive in a fast-paced environment where creativity and common sense result in great solutions. You will be passionate about fraud detection, self-motivated, highly driven, quick, and proactive thinker who has the passion needed to respectfully challenge the status quo and leverage global best practices.
- Hands-on experience in analytics and data science is required.
- Model development and exposure to fraud detection are essential skills.
- Good understanding of LLMs and other new techniques is necessary.
- Data deep dive, insight generation, dashboard reporting, and presentation skills are must-haves.
Key Responsibilities
- Identify valuable data sources and automate collection processes.
- Analyze large amounts of information to discover trends and patterns.
- Combine models through ensemble modeling.
- Present information using data visualization techniques.
- Propose solutions and strategies to business challenges.
- Collaborate with engineering and product development teams.
- Create and enforce policies for effective data management.
- Assist with reports and data extraction when needed.
System Validations
- Monitoring fraud trends, investigating emerging threats, and quickly developing and deploying new strategies to manage those threats.
- Build predictive models and machine-learning algorithms.
- Analyze structural requirements for new software and applications.
- Optimize new and current database systems.
- Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them.
People Management
- Work collaboratively with a diverse team of operational agents, fraud risk managers, data analysts/scientists, business insight analysts, subject matter experts.
- Support team members to locate and define new process improvement opportunities.
Qualifications
- M.Sc in Statistics, Economics, or Engineering degree or Professional education in Data Science.
- Good knowledge of Python, R, SQL, MS Excel, and SQL database & coding.
- At least a bachelor's degree in mathematics, Computer Science, Engineering, Economics, Statistics.
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