9 дней назад
Fraud Abuse Specialist, Digital Fraud & Abuse
100 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fraud Abuse Specialist, Digital Fraud & Abuse (SQL/Python/Machine Learning): Developing fraud analytics models and scalable detection solutions for identity fraud, account takeover, and synthetic identity risks with an accent on risk analysis, anomaly detection, and digital abuse prevention. Focus on integrating complex data sources, monitoring evolving fraud models, building Tableau dashboards, and using agentic AI to automate investigation and detection workflows.
Location: Bethesda, MD, United States
Annual salary: $100,000–$215,000
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family of companies.
What you will do
- Develop and maintain fraud models detecting identity fraud, account takeover, and synthetic identity risks.
- Perform risk analysis and manage complex relational and non-relational data using SQL, Python, and R.
- Monitor identity and entity resolution, social network analysis, unsupervised monitoring, anomalies, and fraud indicators.
- Integrate third-party fraud technology and data sources to improve detection capabilities.
- Monitor model performance, define KPIs, and create suspicious activity alerts and Tableau dashboards.
- Conduct fraud risk assessments and use agentic AI to automate workflows and improve pattern detection and investigations.
Requirements
- Bachelor’s degree in mathematics, statistics, computer science, or a related science field, or equivalent experience in data science, machine learning, or data mining.
- 5+ years of relevant analytics experience in digital fraud, abuse prevention, identity risk, or related fields.
- Strong technical understanding of APIs, data workflows, customer environments, and requirements translation for engineering teams.
- Experience building machine learning and heuristic fraud signals and rules with data and technology teams.
- Experience partnering with product and engineering teams on platform evolution and influencing change in large, matrixed organizations.
- will not sponsor a new applicant for employment authorization for this position.
Nice to have
- Experience building programmatic fraud prevention capabilities.
- Insurance, fintech, or large-scale consumer digital platform experience.
- Familiarity with adaptive authentication, device intelligence, and risk engines.
- Relevant certifications.
Culture & Benefits
- Personalized development programs, mentorship, and certification assistance.
- Inclusive and collaborative culture focused on shared success.
- Competitive pay, benefits, and flexibility supporting employee well-being.
- Equal employment opportunity and reasonable accommodation for qualified individuals with disabilities.
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