Summary: The Data Engineer – Quantexa role focuses on utilizing Quantexa ETL and scoring tools to deliver projects in fraud, financial crime, compliance, or customer intelligence. The position requires a strong foundation in statistics, machine learning, and deep learning, along with experience in large-scale data processing and MLOps. Proficiency in Python and/or Scala, as well as strong SQL skills, are essential for success in this hybrid role based in London.
Key Responsibilities:
- Utilize Quantexa ETL and scoring tools for project delivery.
- Work on projects related to fraud, financial crime, compliance, or customer intelligence.
- Develop and maintain ML pipelines and perform feature engineering.
- Process large-scale data efficiently.
- Deploy models and manage CI/CD processes in MLOps.
- Ensure model governance, including explainability and documentation.
- Collaborate using tools such as Git and Azure DevOps.
- Utilize Azure cloud platform for data engineering tasks.
Key Skills:
- Quantexa
- ETL
- Scoring tools
- Machine learning
- Data processing
- Python
- SQL
- MLOps
- Azure cloud platform
- Apache Spark
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
I am hiring for Data Engineer – Quantexa (ETL & Scoring) Location: London - Hybrid / 2-3 days Per week in office Quantexa Data Engineer Certification with hands-on experience in Quantexa ETL and scoring tools. Experience delivering projects in fraud, financial crime, compliance, or customer intelligence domains. Strong foundation in statistics, machine learning, and deep learning.. Experience with ML pipelines, feature engineering, and large-scale data processing. Strong SQL skills. Experience with MLOps, including model deployment, CI/CD, and unit testing. Tools such as Git, Azure DevOps, or equivalent. Knowledge of model governance, including explainability, observability, and documentation. Proficiency in Python and/or Scala (Apache Spark experience preferred). Familiarity with Azure cloud platform. Key Skills: Quantexa / ETL / Scoring tools / Machine learning / Data processing / Python
