Qing Liu serves as a Principal Scientist at FICO, where he leverages his extensive expertise in predictive analytics to drive innovation in Financial Payment Cards, Retail Banking Fraud Detection, and Anti-Money Laundering (AML) solutions. With a robust background in both supervised and unsupervised machine learning...
Qing Liu serves as a Principal Scientist at FICO, where he leverages his extensive expertise in predictive analytics to drive innovation in Financial Payment Cards, Retail Banking Fraud Detection, and Anti-Money Laundering (AML) solutions. With a robust background in both supervised and unsupervised machine learning algorithms, Qing has been instrumental in establishing a newly formed AML team that successfully developed and deployed the first advanced analytics custom production model in this domain. His work not only enhances the effectiveness of AML measures but also significantly mitigates risks associated with financial crimes.
In his role, Qing excels in people management, having built and nurtured high-performing teams of talented data scientists. His leadership fosters a collaborative environment that encourages creativity and innovation, enabling his team to tackle complex challenges in fraud detection and AML. His strong project management skills ensure that initiatives are executed efficiently and align with organizational goals.
Qing's ability to communicate effectively across cross-functional teams—including the Chief Analytics Officer, product managers, and marketing—facilitates seamless collaboration and drives project success. His proficiency in programming languages such as Python and SQL, alongside his expertise in statistical modeling and data mining, empowers him to extract actionable insights from vast datasets, ultimately enhancing FICO's product offerings. As the financial landscape continues to evolve, Qing Liu remains at the forefront of developing cutting-edge solutions that address emerging threats in the financial sector.
