Hiring: Vice President - Applied AI/ML Scientist - Fraud & Risk Analytics
Are you passionate about building AI systems that make real-time decisions on live financial transactions Do you thrive at the intersection of research and production We're looking for a senior Applied AI/ML Scientist to help shape the future of fraud prevention and digital payments security.
This is a high-visibility, high-impact role where your models will directly reduce fraud losses, influence firmwide strategy, and power a scalable fraud prevention platform used across the organization.
You will:
- Design, train, and deploy advanced machine learning models for fraud prevention and risk management
- Research and implement cutting-edge architectures, including : Graph Networks, Agentic AI systems, Large Language Models (LLMs)
- Build and rigorously test AI agents to ensure reliability, robustness, and real-world effectiveness
- Develop scalable data pipelines and analytical tools using Databricks, PySpark, and AWS
- Monitor, optimize, and continuously evolve models to adapt to emerging fraud patterns
- Drive technical strategy and influence the analytical direction of the team
- Mentor junior scientists and promote engineering and modeling best practices
- Partner cross-functionally with Product, Engineering, and Data teams to align AI solutions with business impact
- Build reusable, production-grade ML frameworks that elevate firmwide fraud prevention capabilities
What You Bring
- Master's degree (or equivalent experience) in Computer Science, Statistics, Mathematics, Economics, or related quantitative field
- 10+ years of experience building and managing predictive risk models in financial institutions
- Strong foundation in machine learning theory (not just library usage)
- Hands-on experience with:
- Python, SQL, and/or PySpark
- PyTorch or TensorFlow
- XGBoost, Scikit-learn, or similar classical ML tools
- Experience working with large-scale datasets and distributed data processing
- Experience in AWS cloud environments
- Proven ability to take models from research production monitoring optimization
- Experience mentoring or coaching junior team members
Nice to Have
- Experience or strong interest in Graph Analytics and Agentic AI
- Knowledge of GSQL
- Experience working with both structured and unstructured data
- Product mindset you understand that models are part of a broader user and business experience
- Passion for impact your models making real-time financial decisions energizes you
