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About the Role
Q2 is a leading provider of digital banking and lending solutions. Our mission is to build strong and diverse communities through innovative financial technology by empowering our people to help create success for our customers.
Responsibilities
- Support research into emerging fraud and abuse patterns, and help translate findings into new detection ideas
- Help build and test features for ML products across identity, behavior, and transaction fraud
- Assist in building and maintaining pipelines that support training, evaluation, and inference of ML models
- Write clean, well-tested code alongside engineers, using modern AI-assisted development tools
- Help monitor and troubleshoot production ML systems, including data pipelines and model performance
Requirements
- Currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field
- Coursework or project experience with Python (R or Java a plus)
- Exposure to ML frameworks or libraries such as TensorFlow, PyTorch, or scikit-learn
- Foundational knowledge of statistics, probability, or experimental methods
- Strong analytical thinking, curiosity, and a collaborative mindset
- Fluent written and oral communication in English
- Authorized to work for any employer in the U.S. (sponsorship not available)
Skills
- Python
- R
- Java
- TensorFlow
- PyTorch
- scikit-learn
- Statistics
- Probability
- Experimental methods
- Analytical thinking
- AI-assisted development tools
Education Level
- Pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field
Benefits
- Resources for physical, mental, and professional well-being
- Volunteer work and nonprofit support through our Spark Program
About the Company
- Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally.
- We celebrate our employees through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection.
- We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships.
- We foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized.
- We believe in making an impact—in the industry and in the community.
Equal Opportunity
- We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.