Expert Fraud Data Scientist Consultant

Keystone Solutions; Brussel; Sur place; EUR 90 000 - 125 000; Plein temps

Résumé du poste

Keystone Solutions is seeking a Senior Data Scientist specializing in fraud detection for a client-site consultancy mission. You will work within the Artificial Intelligence Tribe, collaborating with data scientists, ML engineers, analysts, and product teams to deliver AI-powered fraud solutions.

You will oversee data engineering, model development, and deployment, translating business needs into robust analytical solutions across complex financial data environments.

Qualifications

• Master’s degree in a quantitative field; PhD is a plus.
• At least 7 years of data science experience, ideally in financial fraud detection.
• Strong analytical skills and ability to work cross-functionally across Fraud Operations, Risk, Compliance and Product.

Responsabilités

• Enhance fraud models by collecting, labeling, and structuring data.
• Design and improve fraud detection models using ML, anomaly and graph analytics.
• Transform large transactional and customer data into actionable fraud insights.
• Collaborate with cross-functional teams to identify fraud trends and translate needs into scalable analytics solutions.
• Investigate complex fraud schemes and proactively develop detection strategies.

Connaissances

Fraud detection

Data science

Machine learning

Graph analytics

Python

Analytical thinking

Communication

Formation

Master’s degree in statistics, computer science, or engineering

PhD (a plus)

Outils

SQL

Python (Pandas)

Spark/Hadoop

Distributed data processing

Java

Description du poste

Mission Overview:

This is a consultancy mission at a client site, representing Keystone Solutions. As a Keystone Solutions consultant, you will be hired to work on client projects, bringing your expertise and values to every engagement.

Role Description:

• Contribute to the Artificial Intelligence Tribe, delivering efficient and seamless banking experiences through AI applications.
• Work alongside a team of experts including Data Scientists, Machine Learning Engineers, Business Analysts, Scrum Masters, Product Owners, and Managers.
• Develop AI solutions addressing business challenges such as virtual assistants, advanced AI tools, and process automation.
• Act as a Senior Data Scientist specializing in Fraud Detection, with at least 5 years of experience in developing AI applications.

Responsibilities:

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

Language Requirements:

• Fluent English

Education:

• 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.

Required Experience / Knowledge:

• 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.

Technical Experience (Mandatory):

• Data Engineering & Management: 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.
• Data Science & Artificial Intelligence: 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.
• Programming language: Extensive experience in Python and deploying AI applications in production. Java experience is a plus.

Soft Skills:

• Team player
• Business oriented
• Quick self-starter, pro-active attitude
• Good communication and influencing skills
• Good analytical and synthesis skills
• Autonomy, commitment, and perseverance
• Ability to work in a dynamic and multi-cultural environment

Keystone Solutions Advantages:

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