Engineering Analyst, Payments Trust and Safety

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.

• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

• 2 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:

• 4 years of experience in the Payments industry, working on risk or fraud management.

• Experience in querying and analyzing large sets of data.

• Strong project and program management skills and experience.

• Working knowledge in one or more of the following areas: statistical analysis and machine learning libraries (e.g., R, Scikit-learn,TensorFlow), programming languages (e.g., Python, C/C++), Large Language Models (LLMs) or Generative AI.

• Demonstrated ability to identify workflow pain points, optimize, automate and scale processes.

• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.