Primary job responsibility:

Design, develop and maintain machine learning/AI algorithms, integrate the machine learning algorithm into E2E automation pipeline, which will be used to automate data-driven strategies/solutions for PayPal consumer risk management. Makes sound decisions that balance risk, user experience and financial performance through the strategy/algorithm optimization.
- Identify and address problems and issues during normal course of work and respond to risk mitigation needs quickly to solve issues with minimum guidance.
- Develop and automate tracking functionality that monitors volume and solution efficacy. Regularly evaluate and communicate performance of automated strategies and solutions to management.
- Participate in the formulations and implementation of departmental processes, procedures, policies and standards.
- Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results on matters of significance to the business.
- Look for improvement and innovation opportunities with business impact. Provide a source of high quality ideas. 

- Develop automation tools which could be used to reduce human efforts and improve efficiency.

Job Requirements:

- Strong in data science, analytics and problem solving. Experienced with predicative modeling, data mining and analytical tool. Proficient with SQL, Python, SAS, and etc., familiar with Unix.
- Proven experience in employing analytics solution on real world problems.
- Good business sense and logical thinking. Ability to synthesize information and generalize the pattern.
- Proven ability to work proficiently on well-defined projects; Focuses primarily on how to achieve overall business objectives of a project with speed and quality
-  Effective inter-personal skills. Manage relationship with key partners across different functions. Able to collaborate with remote teams effectively.
- Skilled in Presenting – can effectively communicate in large or small group settings.

Basic qualification:

- Bachelor’s degree in a quantitative or computer science or engineering field with 2+ year professional work experience in a relevant field. Or Master’s degree in a quantitative or computer science or engineering field.
- Industry experience in payments, e-commerce, or financial services is a strong plus
- Fluent in English.