Data Scientist Fraud Monitoring

ABN AMRO Bank N.V.

Amstelveen

2 weeks ago

Amstelveen

2 weeks ago

Apply

Data Scientist Fraud Monitoring

Data Scientist Fraud Monitoring role at ABN AMRO in Amstelveen, Netherlands. You will work with fraud experts and data scientists to safeguard customers from financial fraud using cutting-edge technologies. Requires a master's degree or PhD, 3+ years of ML experience, and strong Python, SQL, and Spark skills.

Apply

Hybrid

Full-time

Mid Level

Python

SQL

Salary

Not specified

Work Location

Amstelveen, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

3 years

Employment Type

Full-time

Experience Level

Not explicitly stated, but requires 3+ years of ML experience

Core Qualifications

Technical (Must-have)

PythonSQLSparkMachine LearningMLFlowGitMLOpsExploratory Data AnalysisFeature EngineeringAgile

Soft Skills

problem-solvingcollaborative mindsetmentoringcoachinglearning mindsetcommunicationproject managementinnovationcreativityintellectual curiosity

Key Responsibilities

•Analyze diverse data sources to get actionable insights.
•Understand fraud trends across various payment channels.
•Evaluate the potential of different data fields to enhance fraud detection.
•Recognize seasonal patterns and create reliable forecasts.
•Contribute to ongoing improvements in fraud detection capabilities through model experimentation and integration of new data elements.
•Collaborate with others to brainstorm data science solutions.

Data ScientistFraud MonitoringMachine LearningPythonSQLSparkMLOpsBankingHybridABN AMRO

Data Scientist Fraud Monitoring

ABN AMRO Bank N.V.

Amstelveen

2 weeks ago

Amstelveen

2 weeks ago

Apply

Data Scientist Fraud Monitoring

Apply

Hybrid

Full-time

Mid Level

Python

SQL

Salary

Not specified

Work Location

Amstelveen, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

3 years

Employment Type

Full-time

Experience Level

Not explicitly stated, but requires 3+ years of ML experience

Core Qualifications

Technical (Must-have)

PythonSQLSparkMachine LearningMLFlowGitMLOpsExploratory Data AnalysisFeature EngineeringAgile

Soft Skills

problem-solvingcollaborative mindsetmentoringcoachinglearning mindsetcommunicationproject managementinnovationcreativityintellectual curiosity

Key Responsibilities

•Analyze diverse data sources to get actionable insights.
•Understand fraud trends across various payment channels.
•Evaluate the potential of different data fields to enhance fraud detection.
•Recognize seasonal patterns and create reliable forecasts.
•Contribute to ongoing improvements in fraud detection capabilities through model experimentation and integration of new data elements.
•Collaborate with others to brainstorm data science solutions.

Data ScientistFraud MonitoringMachine LearningPythonSQLSparkMLOpsBankingHybridABN AMRO