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1 Vacancy
The FedNow product team is seeking a highly skilled Fraud Data Analyst to enhance our fraud prevention strategies through advanced analytics fraud detection tools and datadriven insights. The ideal candidate will have strong experience in fraud analytics statistical analysis techniques and fraud detection models along with a passion for mitigating fraud across the financial sector.
Key Responsibilities:
Analyze transactional and behavioral data to detect monitor and prevent fraud
Recommend test and implement new fraud rules to strengthen our organizations fraud detection frameworks
Work with fraud analytics and modeling tools to develop validate promote and monitor fraud models.
Use fraud detection tools to enable endtoend workflows including data ingestion transformation modeling and performance monitoring.
Apply data generation and transformation techniques to ensure the integrity and quality of datasets used for fraud detection.
Perform statistical analysis and build predictive models to uncover hidden patterns and fraud risk indicators
Monitor fraud model performance and identify opportunities for optimization.
Create dashboards reports and materials to communicate fraud metrics and insights to internal stakeholders
Stay current on emerging fraud trends technologies and regulatory requirements to inform strategy.
Collaborate with specialists including data scientists systems architects information security architects and product managers to develop and implement fraud prevention strategies
Qualifications:
Bachelors degree in data science statistics computer science business or a related field (Masters degree preferred)
5 years of experience in data analysis with at least 3 years in fraud analytics or prevention in the financial services industry
Hands on experience with fraud detection tools including both industrystandard solutions and specialized niche tools.
Proficiency in querying and analyzing large datasets using SQL Python R or similar tools
Expertise in data cleaning transformation and integration. Expertise in statistical and predictive analysis
Experienced in creating and validating fraud prevention rules to identify prevent and mitigate fraudulent activities.
Ability to communicate technical concepts effectively to technical and nontechnical audiences
Strong problemsolving skills attention to detail and a datadriven mindset
The Federal ReserveSystem is committed to a diverse and inclusive workplace and to provide equal employment opportunities to all persons without regard to race color religion national origin sex sexual orientation gender identity age genetic information disability or military service.
All employees assigned to this position will be subject to FBI fingerprint/ criminal background and Patriot Act/ Office of Foreign Assets Control (OFAC) watch list checks at least once every five years.
The above statements are intended to describe the general nature and level of work required of this position. They are not intended to be an exhaustive list of all duties responsibilities or skills associated with this position or the personnel so classified. While this job description is intended to be an accurate reflection of this position management reserves the right to revise this or any job description at its discretion at any time.
The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.
Always verify and apply to jobs on Federal Reserve System Careers ( or through verified Federal Reserve Bank social media channels.
Required Experience:
Unclear Seniority
Full-Time