The Role
- Design, develop, validate, and optimize advanced analytical models for fraud detection and investigations.
- Apply machine learning, artificial intelligence, natural language processing, and graph analytics.
- Analyze structured, semi-structured, and unstructured data from various sources.
- Develop scalable analytical workflows using cloud-native and open-source frameworks.
- Collaborate with diverse teams to develop integrated analytical solutions.
- Document methodologies, model performance, and technical recommendations.
- Three or more years of experience developing advanced analytical or machine learning solutions.
- Strong Python and SQL programming experience.
- Experience developing, testing, validating, and improving analytical or machine learning models.
- Experience working with cloud analytics environments.
- Expertise in one or more areas: AI/ML, NLP/LLMs, Graph Analytics, or Cloud-Native Analytics.
- Excellent analytical, written, and verbal communication skills.
- Competitive salary and comprehensive, company-paid healthcare.
- 401(k) with company match and generous paid time off.
- Significant annual training and book allowances, plus tuition reimbursement.
- Real opportunity for career growth in a supportive and collaborative environment.