Staff Data Scientist – Risk at Cash App (Remote)

Staff Data Scientist – Risk at Cash App (Remote)

Cash App, a leading financial services platform, is looking for a Staff Data Scientist – Risk to join their remote team. In this role, you’ll leverage your expertise in data science and risk management to protect Cash App’s customers from fraud, ensuring the safety and security of millions of transactions made through the platform.

About the Role

As a Staff Data Scientist on the Risk team at Cash App, you will:

• Analyze and Prevent Fraud: Use data analysis, machine learning, and predictive modeling to detect suspicious activities and minimize fraud risk.
• Collaborate with Teams: Work closely with risk analysts, engineers, and product teams to develop systems that can quickly identify threats and mitigate potential risks.
• Build Risk Detection Models: Design and deploy models that can process large-scale data to uncover patterns of fraud and predict future risks.
• Improve Risk Strategies: Constantly evaluate Cash App’s fraud prevention strategies and optimize them to stay ahead of emerging threats.

Key Responsibilities

• Develop and implement data models to detect fraud and security risks.
• Analyze large datasets to identify patterns in fraudulent activity and refine fraud prevention strategies.
• Work with cross-functional teams to integrate risk models into the product pipeline.
• Mentor junior data scientists and contribute to the development of data science tools and practices within the company.

Requirements

To excel in this role, candidates should meet the following qualifications:

1. Experience: 7+ years of experience as a data scientist, particularly within financial services, fraud detection, or risk management.
2. Technical Skills: Expertise in Python, R, or other programming languages, and experience with data analytics tools such as SQL, Spark, or Hadoop.
3. Machine Learning Expertise: Proven ability to build and deploy machine learning models in production environments.
4. Problem-Solving Skills: Strong analytical skills and a deep understanding of fraud detection techniques, as well as hands-on experience dealing with real-world fraud and risk challenges.

Application Process

Here’s how you can apply for the Staff Data Scientist – Risk role at Cash App:

1. Visit Cash App Careers Page: Navigate to the Cash App Careers Portal and search for the position.
2. Submit Your Resume and Cover Letter: Tailor your resume to highlight your experience in data science, fraud detection, and risk management.
3. Technical Interviews: Expect a multi-stage interview process involving coding assessments, data analysis tasks, and problem-solving discussions focusing on risk-related scenarios.

Why Work at Cash App?

• Remote Flexibility: Cash App provides the option to work remotely, offering you the flexibility to balance your personal and professional life.
• Impactful Role: As part of the Risk team, you’ll have a direct impact on ensuring the security of millions of users.
• Growth Opportunities: Cash App provides numerous opportunities for learning, growth, and career development through internal programs and mentorship.

Conclusion

If you’re a data scientist with experience in fraud detection and risk management, this role offers the opportunity to work remotely with one of the most innovative financial platforms. Join Cash App to build and enhance risk models that protect users and safeguard transactions worldwide.

For more information and to apply, visit the Cash App Careers Portal.