Data Engineer – Fraud & Financial Crime

7 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title :

Company:

Location:

Experience:

Preferred Joining:


About the Role

Closing Gap

fraud prevention and financial crime risk management


Key Responsibilities

Design & Develop Data Pipelines:

Fraud Detection & Modeling:

Feature Engineering:

Model Deployment:

Tool Integration:

Data Governance:

Cross-Team Collaboration:


Qualifications & Skills

Data Engineering or Data Science

Python and SQL

Kafka, Spark, or Flink

Fraud Risk Management

🔹 Experience with fraud tools (DataVisor, FICO, Actimize, IBM Safer Payments).

data architecture

Machine Learning


Preferred Add-ons:

✨ Experience in fraud or compliance functions within banks or fintechs.

graph databases

Airflow, Kubernetes

data privacy laws


Education

Computer Science, Data Engineering, Statistics

Data Engineering


Why Join Us?

🌍 Work remotely with a dynamic, cross-functional global team.

Fraud Risk & Financial Crime Analytics

🚀 Enjoy a high-impact role with opportunities to influence enterprise data strategy.

🤝 Collaborative, growth-oriented culture that values ownership and excellence.


Apply now

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