09/01/2020
Investment Bank
London, UK
Permanent, Full time
Competitive salary
Machine Learning / Data Scientist
Looking for someone with a Machine Learning MSc/PhD or PhD in a quantitative discipline with a Machine Learning courses, who has hands on coding experience, a good general knowledge of Financial Services and the character to learn quickly, for a Data Science position within the quant / fraud detection team at a top tier Investment Bank in Canary Wharf.
Join a cutting edge team using predictive models based on machine learning techniques to protect against fraud. You will use a variety of advanced modelling techniques including linear regression, random forests and gradient boosted machines, primarily on a Hadoop infrastructure, with the latest tools and very large sets of data.
Key Accountabilities:
- Development and management of machine learning models for fraud detection.
- Trusted consultant to team members in the Global Fraud Management and Technology teams on fraud detection modelling, contributing to model related decisions.
Essential Skills:
Advanced analytical skills and ability to develop and implement predictive machine learning models on very large data sets in Hadoop environments using tools such as Python, Spark and MLLib.
For more information, contact Tom.Stoddart@eximius.com or 0207 648 6920.
Click on the images to connect with Tom on Linkedin.
machine learning, data scientist, investment bank, quantitative machine learning, data science