Expert Fraud Data Scientist Consultant

Role overview

Responsibilities

• check_circle Enhance fraud models by collecting, labeling, curating, structuring, and feature engineering data.
• check_circle Design, develop, and improve fraud detection models using machine learning, graph analytics, anomaly detection, and behavioral analytics.
• check_circle Transform large volumes of transactional and customer data into actionable fraud intelligence through feature engineering, data enrichment, and pattern discovery.
• check_circle Collaborate with Fraud Operations, Risk, Compliance, and Product teams to identify fraud trends and translate business needs into scalable analytical solutions.
• check_circle Investigate complex fraud schemes, uncover new attack vectors, and proactively develop detection strategies to mitigate risks.

Basic qualifications

• At least 7 years of experience in data science, preferably in the financial sector with a focus on fraud detection. Candidates with less experience may be considered if they have strong academic credentials.
• Fluent English
• Master’s degree in a quantitative field such as statistics, computer science, or engineering, ideally with a focus on Fraud Detection. A PhD is a plus. Candidates from other academic backgrounds with strong analytical skills are also welcome.

Preferred qualifications

• Hands-on experience manipulating and processing large-scale datasets using SQL, Python (Pandas), Spark/Hadoop, and distributed data processing technologies. Skilled at collecting, enriching, structuring, and validating complex transactional and behavioral data for fraud analytics and machine learning.
• Application of advanced analytical techniques including supervised and unsupervised machine learning, anomaly detection, graph analytics, and network analysis. Experience in building data-centric AI solutions with robust software engineering, high-quality datasets, and state-of-the-art modeling approaches. Experience with generative AI is a plus.
• Extensive experience in Python and deploying AI applications in production. Java experience is a plus.

Benefits

• check_circle Consultancy Nature: You will work on-site as a consultant, representing Keystone Solutions and delivering value to diverse client environments.
• check_circle Dynamic Projects: Experience a variety of challenges and projects across multiple client settings, broadening your expertise.
• check_circle Turbo-Charged Learning: Benefit from continuous professional development and exposure to cutting-edge technologies and methodologies.
• check_circle Skyrocketing Ambition: Keystone Solutions is committed to your career growth, offering opportunities to advance within the consultancy framework.
• check_circle Values: As a K-Stone, you bring integrity, excellence, and collaboration to every mission.