Daniel Wooten serves as a Principal Associate in Data Science at Capital One, where he plays a pivotal role in developing, deploying, and maintaining sophisticated risk-sloping models tailored for Anti-Money Laundering (AML) operations. With a robust foundation in complex multi-objective problem solving, Daniel leverages his...
Daniel Wooten serves as a Principal Associate in Data Science at Capital One, where he plays a pivotal role in developing, deploying, and maintaining sophisticated risk-sloping models tailored for Anti-Money Laundering (AML) operations. With a robust foundation in complex multi-objective problem solving, Daniel leverages his expertise in statistical and deep learning methodologies to enhance the efficacy of AML strategies. His proficiency in programming languages such as C++, Python, and R allows him to create scalable solutions that address intricate financial compliance challenges.
In his current role, Daniel is deeply involved in key projects that utilize advanced modeling techniques, including Monte Carlo simulations and object-oriented modeling, to assess and mitigate risks associated with financial transactions. His experience with parallel programming frameworks like MPI and OpenMP enables him to optimize computational efficiency, ensuring that the models can process vast datasets in real-time. Additionally, Daniel's familiarity with CUDA enhances his capability to implement high-performance computing solutions, further solidifying his contributions to Capital One's data-driven initiatives.
Daniel's commitment to Test Driven Development and software lifecycle management ensures that the models he develops are not only robust but also adaptable to the ever-evolving landscape of financial regulations. His collaborative approach and strong teamwork skills foster a productive environment, allowing him to work seamlessly with cross-functional teams to deliver innovative solutions that protect the integrity of financial systems. Through his work, Daniel exemplifies the intersection of data science and financial compliance, driving impactful change within the organization and the industry at large.
