We are seeking an experienced and motivated Lead Data Scientist - Fraud to join our dynamic team. In this pivotal role, you will leverage your expertise in data analysis and machine learning to develop innovative solutions that combat fraud across various platforms. You will lead a team of data scientists and analysts, driving the development of robust predictive models and algorithms that identify and mitigate fraudulent activities. You will collaborate closely with cross-functional teams, including engineering, risk management, and product development, to implement data-driven strategies that enhance our fraud detection capabilities.
Your key responsibilities will include designing and executing complex data analyses, developing and refining fraud detection models, and presenting findings to stakeholders. You will be responsible for setting the strategic direction for the fraud analytics team, mentoring junior data scientists, and ensuring best practices in data science methodologies. Additionally, you will stay abreast of industry trends and emerging technologies, integrating them into our fraud detection processes to continuously improve efficiency and effectiveness.
The ideal candidate will possess a Master’s or Ph.D. in a quantitative field such as Computer Science, Statistics, or Mathematics, along with a proven track record in fraud detection or financial crime analytics. Strong programming skills in Python or R, and proficiency with data manipulation tools such as SQL are essential. You should also have experience in machine learning techniques, statistical modeling, and data visualization. Excellent communication skills are crucial to articulate insights and recommendations effectively to both technical and non-technical audiences. If you are passionate about leveraging data to combat fraud and thrive in a collaborative environment, we would love to hear from you.
Lead Data Scientist - Fraud
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