Staff ML Risk Analyst

## About the Role The Staff ML Risk Analyst role at Coinbase is a unique opportunity to work at the intersection of machine learning and risk management. As a member of the Growth & Risk team, you will be responsible for developing and implementing ML-powered solutions to detect and prevent online fraud. The role requires a deep understanding of machine learning algorithms, data analysis, and risk management principles. You will be working closely with cross-functional teams, including product managers, engineers, and data scientists, to identify and mitigate potential risks. The day-to-day responsibilities of this role will include analyzing large datasets to identify patterns and trends, developing and testing machine learning models, and collaborating with stakeholders to implement and refine these models. You will also be responsible for staying up-to-date with the latest developments in the field of machine learning and risk management, and applying this knowledge to improve the company's risk management capabilities. The Growth & Risk team at Coinbase is a dynamic and fast-paced environment, and the successful candidate will be able to thrive in this setting. The team is responsible for identifying and mitigating potential risks to the company's users and assets, and the Staff ML Risk Analyst will play a key role in this effort. ## What You Will Do - Develop and implement machine learning models to detect and prevent online fraud - Analyze large datasets to identify patterns and trends - Collaborate with cross-functional teams to implement and refine machine learning models - Stay up-to-date with the latest developments in the field of machine learning and risk management - Develop and maintain technical documentation of machine learning models and algorithms - Partner with product managers and engineers to design and implement new features and products - Develop and maintain data visualizations and reports to communicate insights to stakeholders - Collaborate with data scientists and engineers to develop and implement new machine learning algorithms - Participate in the development of the company's risk management strategy and framework - Provide technical guidance and oversight to junior team members ## What We Are Looking For - 8+ years of experience in machine learning, data science, or a related field - Proven experience in developing and implementing machine learning models for risk management - Strong understanding of machine learning algorithms and statistical modeling - Experience working with large datasets and data visualization tools - Strong programming skills in languages such as Python, R, or SQL - Experience working with agile development methodologies - Strong communication and collaboration skills - Ability to work in a fast-paced and dynamic environment - Experience working with cloud-based technologies such as AWS or GCP - Strong understanding of risk management principles and regulations ## Nice to Have - Experience working with blockchain technology - Knowledge of cryptocurrency markets and trends - Experience working with natural language processing or computer vision - Familiarity with DevOps tools such as Docker or Kubernetes - Experience working with data warehousing and ETL tools ## Benefits and Perks - Competitive salary and benefits package - Opportunity to work on complex and challenging problems - Collaborative and dynamic work environment - Professional development opportunities - Flexible working hours and remote work options - Access to the latest technologies and tools - Recognition and reward for outstanding performance - Comprehensive health insurance package - Generous paid time off policy - Annual bonus and stock option plan

- Make sure to highlight your experience with machine learning algorithms and statistical modeling in your resume and cover letter.

• Be prepared to provide examples of your work with large datasets and data visualization tools.
• Show a strong understanding of risk management principles and regulations, and be able to explain how you have applied these in previous roles.
• Demonstrate your ability to work in a fast-paced and dynamic environment, and highlight your experience with agile development methodologies.
• Be prepared to discuss your experience working with cloud-based technologies and DevOps tools.
• Highlight your strong communication and collaboration skills, and provide examples of how you have worked effectively with cross-functional teams in the past.
• Consider creating a portfolio of your work, including examples of your machine learning models and data visualizations, to share with the hiring team.