Senior Data Scientist - Risk

Shakepay Inc.; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Shakepay Inc. is seeking a Senior Data Scientist to develop risk metrics and fraud prevention strategies within a fintech setting.

The role sits on Shakepay's Risk team, collaborating with engineering, security, compliance and product to define risk metrics and operational strategies that protect customers and the company from fraud. The successful candidate will apply machine learning techniques to assess fraud patterns and improve decision quality, displaying ownership in a fast-paced

Qualifications

• Experience in data science for risk analytics and fraud prevention.
• Proficiency with ML techniques to evaluate fraud patterns.
• Ability to collaborate with engineering, security, compliance and product teams.

Responsibilities

• Develop risk metrics and fraud prevention strategies.
• Contribute to the design and architecture of risk systems.
• Collaborate with cross-functional teams to implement risk solutions.

Skills

Data science

Risk analytics

Machine learning

Fraud detection

Risk systems

Cross-functional collab

Tools

Python

SQL

Job description

Shakepay seeks a Senior Data Scientist to develop risk metrics and fraud prevention strategies in a fintech setting. Ideal candidates have extensive experience in data science, particularly in risk analytics and machine learning.

At Shakepay, the Senior Data Scientist will be integral to the newly reinstated Risk team, focusing on building advanced risk systems and decision‑making capabilities. This role involves close collaboration with engineering, security, compliance, and product teams to define risk metrics and operational strategies that protect customers and the company from fraud.

The successful candidate will engage in deep analytical work, applying machine learning techniques to evaluate fraud patterns and improve decision quality. This position requires a strong sense of ownership and the ability to navigate ambiguity in a fast‑paced environment, contributing to the design and architecture of risk systems that balance fraud prevention with user experience.