Senior Data Scientist, Financial Crime Analytics

Ellenco Estágios e Treinamentos; Kansas; On-site; USD 140,000 - 200,000; Full time

Job summary

Mastercard is seeking a Lead Data Scientist for the Financial Crime Solutions team. You will build and deliver data-driven products using payments data to detect and prevent financial crime globally.

You will lead research, develop novel algorithms, and collaborate with engineering, operations, and product teams to translate insights into client offerings, while considering privacy, security, and regulatory constraints.

Qualifications

• Proficiency in Python and data science libraries.
• Ability to design algorithms for financial crime problems.
• Strong communication with non-technical colleagues.
• Willingness to learn new languages and technologies.
• Experience in research and prototype development.

Responsibilities

• Perform proof-of-concept projects and build prototypes.
• Develop new algorithms for financial crime products.
• Conduct novel research on criminal behaviors in payments data.
• Turn insights into new products and services for clients.
• Collaborate with engineering, operations, sales, consulting, and product teams.

Skills

Python

Pandas

Scikit-learn

Network analysis

Communication

Algorithm design

Tools

Kafka

TensorFlow

Bloom filters

Job description

Mastercard is seeking a Lead Data Scientist for the Financial Crime Solutions team. You will build and deliver data-driven products using payments data to detect and prevent financial crime globally.

You will lead research, develop novel algorithms, and collaborate with engineering, operations, and product teams to translate insights into client offerings, while considering privacy, security, and regulatory constraints.