Not specified; competitive income mentioned; perfo...
Fully remote
Python and pyspark development
Hadoop ecosystem experience
Big data processing skills
The role focuses on developing and deploying big data anti-fraud detection solutions and models to protect the bank from financial crimes
Job Summary
The role focuses on developing and deploying big data anti-fraud detection solutions and models to protect the bank from financial crimes.
Candidates must possess strong technical maturity in design and implementation with a commitment to writing clean, testable, and maintainable code.
Deutsche Bank offers a collaborative environment with flexible work-from-home options, continuous learning opportunities, and comprehensive health benefits.
Matching Summary
The role focuses on developing and deploying big data anti-fraud detection solutions and models to protect the bank from financial crimes.
Salary
Not specified; Competitive income mentioned; Performance-based promotions available
Skills & Requirements
Must-have
Python and PySpark development
Hadoop ecosystem experience
Big data processing skills
Test driven development practices
SQL database optimization
Git version control usage
Agile Scrum methodology
Nice-to-have
Google Cloud Platform knowledge
Control-M workload automation
Financial services background
Anti-financial crime concepts
Continuous improvement culture
Shell scripting proficiency
Statistical modelling aptitude
Key Requirements
Bachelor's degree in Computer Science or IT-related discipline
Proven experience with Spark SQL, HDFS, Hive, and YARN
Familiarity with Pandas, Numpy, and Scikit-learn frameworks