Matrix Global
Open positions
Data scientist
Remote (Europe) customer-facing data scientist role: designing and delivering machine learning and analytics solutions across the full project lifecycle, from analyzing large-scale datasets and building predictive models to leading customer implementations and pilots. Core stack is Python, PySpark/Spark, MLflow, Airflow, and SQL.
AML Business Data Analyst
Job Description: Data Analyst – Banking / Financial Crime Modeling Position Overview We are seeking an experienced Data Analyst with a strong banking background and expertise in financial crime analytics, including…
Senior Business Intelligence Developer
Senior BI Developer who turns complex business requirements into enterprise-grade dashboards, reports, and data models for data-driven decision making. Core work involves SQL, ETL/data warehousing, and BI tools like Power BI, Tableau, or Looker, plus mentoring junior developers.
Data Engineer
Data Engineer building and optimizing large-scale and machine learning data pipelines that power AI-driven anti-money-laundering detection for financial institutions. Core stack: Apache Spark, SQL, the Hadoop ecosystem, and Python/PySpark, with a strong customer-facing element.
Principal Engineer / Architect
A hands-on Principal Engineer/Architect in Toronto defining architecture and technical direction for enterprise-scale cloud-native data and application platforms, while staying deeply involved in coding and reviews. Core stack: Java/Scala, Microsoft Azure (ADLS, Databricks), Kafka/MQ, microservices, CI/CD, and Kubernetes.
Senior Data Scientist
Build and tune fraud-detection models using Python and ML, clean client data, and collaborate with teams to create scalable data pipelines for fintech and cybersecurity clients.