Katie Clark
About Katie Clark
Katie Clark is an Engineering Manager specializing in Fraud Detection at Sendwave, where she has worked since 2022. With a background in machine learning and extensive experience in software development, she has held various roles in the tech industry since 2009.
Current Role at Sendwave
Katie Clark serves as the Engineering Manager for Fraud Detection at Sendwave, an international remittance service. She has held this position since 2022, overseeing the development and implementation of strategies to enhance fraud detection capabilities. Her role involves collaboration with Data Scientists to improve the effectiveness of fraud detection systems.
Previous Experience at Sendwave
Before her current role, Katie worked at Sendwave as a Backend Engineer for Fraud Detection from 2021 to 2022. In this position, she focused on developing backend systems to identify and mitigate fraudulent activities within the platform, leveraging her expertise in machine learning and data analysis.
Professional Background
Katie has a diverse professional background in software development and data science. She worked at Brandwatch as a Java Developer from 2014 to 2016 and later transitioned to a Data Scientist and ML Engineer role there from 2016 to 2018. Additionally, she has experience as a Software Developer at iCrossing UK and as a Junior Developer at illustra.
Education and Expertise
Katie holds a Bachelor of Science with Honours in Mathematics with Computer Science from the University of Southampton, which she completed from 2005 to 2009. She has been working with machine learning, deep learning, and natural language processing since 2016, and has extensive experience with relational databases, SQL, and Hadoop, utilizing statistics libraries in Python since 2010.
Technical Skills
Katie has been proficient in Java and Python since 2009, demonstrating a strong foundation in software development and data science. Her technical skills include working with machine learning algorithms and statistical analysis, which she applies in her current role to enhance fraud detection systems.