Data Scientist Sr/ Risk Consultant
About The Position
Location: Eastern Europe
Department: Professional Services
About the Role
This role combines the strengths of a risk consultant, data scientist, and customer-facing solution expert. You will partner closely with clients and internal teams to understand fraud and financial crime challenges, translate business needs into analytical and technical solutions, and help optimize detection strategies across our platform.
The ideal candidate brings strong experience in fraud, AML, or financial crime, excellent analytical and technical capabilities, and the confidence to engage directly with both technical and business stakeholders.
What You’ll Do
Client Discovery & Risk Analysis
• Lead client workshops and discovery sessions to understand fraud scenarios, AML typologies, operational workflows, and business objectives.
• Gather and translate business, technical, and regulatory requirements into clear functional and analytical specifications.
• Assess client data, transaction patterns, and existing controls to identify opportunities for stronger detection and improved outcomes.
Analytics, Modeling & Machine Learning
• Analyze structured and transactional data to uncover patterns, anomalies, and risk indicators.
• Perform data cleaning, preprocessing, feature engineering, validation, and exploratory analysis to support risk strategy design and model development.
• Develop, tune, and evaluate machine learning models and analytical approaches that improve fraud and financial crime detection.
• Interpret model outputs and analytical findings and present actionable recommendations to clients and internal stakeholders.
Solution Design & Platform Configuration
• Partner with Product, Engineering, and Solution Architecture teams to design and configure scalable client solutions.
• Support platform setup across event flows, data mappings, rules, alerts, case management workflows, and detection strategies.
• Tailor solutions to client operating models, risk appetite, regulatory requirements, and available data.
Regulatory & Detection Strategy Enablement
• Translate fraud, AML, KYC, PSD2, and other relevant regulatory or compliance requirements into practical system logic and detection approaches.
• Help clients optimize their fraud and financial crime strategies using data-driven insights, machine learning outputs, and industry best practices.
• Support clients in aligning platform usage with both operational goals and compliance expectations.
Validation, UAT & Client Enablement
• Lead or support User Acceptance Testing (UAT) to validate end-to-end functionality, data quality, model behavior, and workflow performance.
• Troubleshoot issues related to data, rules, models, and case management in collaboration with internal and client teams.
• Train and enable client stakeholders on platform capabilities, risk strategies, model usage, and operational best practices.
Collaboration & Product Improvement
• Work cross-functionally with Customer Success, Product, Engineering, Research, and Delivery teams to drive successful implementation and adoption.
• Identify recurring client challenges and contribute ideas that improve product capabilities, reusable assets, and solution patterns.
• Stay current on fraud, AML, payments risk, financial crime trends, and the evolving use of machine learning in risk decisioning.
Required Experience
• 4–8+ years of experience in fraud prevention, AML, financial crime, risk analytics, payments risk, fintech, or a related field.
• Experience in a client-facing role, working directly with financial institutions, merchants, or enterprise customers.
• Strong hands-on experience in transaction monitoring, fraud operations, alert analysis, risk strategy, AML/fraud solutioning, or model-driven detection.
Technical Skills
• Strong proficiency in Python, including libraries such as NumPy, Pandas, SciPy, and scikit-learn.
• Strong proficiency in SQL for querying, validation, troubleshooting, and data analysis.
• Experience with machine learning concepts, algorithms, and model evaluation.
• Experience with data preparation, feature engineering, and analytical workflows.
• Familiarity with distributed data processing tools such as PySpark.
• Experience with data pipeline or orchestration tools such as Airflow, Trino, or similar is a plus.
• Experience with BI and visualization tools such as Tableau, Power BI, and Excel is beneficial.
Domain Expertise
• Strong understanding of fraud, AML, KYC, transaction monitoring, financial crime typologies, and risk operations.
• Familiarity with regulatory and operational requirements in financial services and payments environments.
• Experience applying analytics or machine learning to fraud and financial crime use cases is highly desirable.
Communication & Working Style
• Strong verbal and written communication skills, with the ability to explain complex technical findings to non-technical audiences.
• Strong workshop facilitation, presentation, and stakeholder management skills.
• Highly analytical, detail-oriented, and comfortable solving complex business and technical problems.
• Able to manage multiple priorities in a fast-paced, cross-functional, client-driven environment.
Education
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, Finance, Technology, Business, or a related field.
Nice to Have
• Experience working with fraud platforms, AML solutions, or case management systems.
• Experience in payments, banking, fintech, or e-commerce risk environments.
• Exposure to production-grade ML deployments or scalable analytics solutions.
• Familiarity with cloud-based data and analytics environments.
Why Join Matrix IFS
• Work on real-world fraud, AML, and financial crime challenges with leading clients.
• Join a collaborative, high-impact team at the intersection of risk, analytics, and machine learning.
• Help shape innovative solutions that influence both client success and product evolution.
• Grow your career in a role that blends consulting, technical depth, and industry relevance.
Why Matrix
Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest, most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Secu city, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide.
We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future.
Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization. To Learn More, Visit Matrix -ifs. Com,
