Lead a team building machine learning and data science solutions for fraud and scam prevention in the financial services industry. Responsible for accelerating model development, evaluating performance, and introducing new algorithms to improve model performance.

Lead survey research and analyses on customer experience and product design issues. Work on projects end to end, investigate challenging questions, contribute to high-priority reports, and stay connected to survey industry trends. Requires 4+ years of experience in survey research, experience with B2C research in multiple countries and languages, proficiency in survey types, Qualtrics expertise, and familiarity with SQL, R, or Python.

Lead a team of Machine Learning Engineers and Data Scientists to build machine learning solutions for fraud prevention in the financial services industry. Partner with ML ops and ML platform teams to improve research efficiency and model quality. Define frameworks for evaluating model performance and accelerate the model development processes. Evaluate and introduce new algorithms and model architectures to improve performance.