Data Scientist

Who we are:Quavo is the industry leader in fraud and disputes management technology, offering the world’s only E2E cloud-based Disputes as a Service solution for issuing financial services organizations. Quavo is an organization of tenacious experts who are innovative and challenge complacency to continuously deliver cutting edge technology and AI.

Our experts are passionate about delivering value in our solutions and empowering our client community to enhance and evolve industry standards in fraud and disputes management.

Who you are:Quavo is looking for authentic and courageous professionals to join our team.

If you are a driven, accountable, and innovative problem solver searching for a collaborative environment of like-minded teammates dedicated to improving the client experience….

Then you are going to love working at Quavo. About the role:We are seeking a Senior Data Scientist with deep expertise in financial fraud detection and claim abuse.

This role will lead the design and implementation of advanced analytics and machine learning solutions to combat evolving fraud and dispute schemes.

The ideal candidate will have a proven track record of delivering high-impact models, mentoring junior team members, and influencing strategic decisions across the organization.

Responsibilities:

include:Strategic Leadership
•Drive the roadmap for internal AI ML initiatives, aligning with business objectives and regulatory

requirements
.

•Serve as a subject matter expert on fraud analytics, advising leadership on emerging threats and mitigation strategies. Advanced Modeling
•Architect and deploy cutting-edge machine learning and AI models to maximize fraud recovery, behavioral analysis, and predictive fraud prevention.
•Optimize models for scalability, real-time performance, and minimal false positives. Data Innovation
•Identify new data sources and develop advanced feature engineering techniques to enhance fraud detection capabilities.
•Lead research into novel algorithms, including graph analytics and deep learning approaches. Collaboration Influence
•Partner with Legal, Leadership, and Engineering teams to integrate solutions into enterprise systems.
•Communicate complex technical concepts to non-technical stakeholders and influence decision-making. Mentorship
•Guide and mentor junior data scientists, fostering a culture of innovation and continuous learning. Governance Compliance
•Ensure models adhere to regulatory standards (OCC, PCI DSS) and ethical AI practices. Required

Qualifications

:7+ years of experience in data science, with at least 3 years focused on fraud detection or financial risk analytics. Expertise in machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and advanced statistical modeling. Strong proficiency in Python, SQL, and SnowflakeDeep understanding of financial systems, payment networks, and fraud typologies. Experience deploying models in production environments and working with real-time streaming platforms. Preferred

Qualifications

:Familiarity with graph databases and network analysis for fraud rings. Knowledge of cloud platforms (AWS) and MLOps best practices. Exceptional communication and leadership skills.