Risk Data Sceintist - London, United Kingdom,
£45,000 - £70,000
An opportunity for a Decision Scientist or Fraud or Credit Risk professional to transition to a Data Science role. Reduce the threat of online crime through development of machine learning algorithms, statistical models and data analysis. A start up environment with no red-tape, great tech, a collaborative, informal environment and huge ambitions.
A revolutionary start-up pioneering new technology in the digital identity space are looking for a Data Scientist to provide the world's fastest and most accurate fraud detection decisions and cyber -crime protection. It's a fast-paced tech environment where you'll be a part of building something special with immediate real-life impact, directly increasing profits, reducing authentication inconveniences whilst protecting the world from cyber-threats.
Research and develop machine learning algorithms using thousands of data points both from in-house digital identity tool and from client businesses globally
Analyse large sets of complex data to identify and flag fraud risk trends, anomalies and issues
Explain complex patterns of behaviour using data and models in a simple manner to nontechnical audience
Collaborate with Product, Engineering and Consultancy teams to build state of the art fraud detection and digital identity products
YOUR SKILLS AND EXPERIENCE
Strong analytical degree in a STEM subject
Experienced user of SQL, R or Python (or similar inc. SAS)
Experience driving insight from large and complex data-sets
Experienced developing statistical models or machine learning algorithms, ideally in the Fraud or Credit Risk or Decision Science space
Strong communicator with stakeholder experience