Checkout.com
Fintech
Manager,FraudandRiskStrategist
Neural analysis suggests this role is
optimal for Manager candidates.
“Manager, Fraud and Risk Strategist at Checkout.com. Skills: Fraud and Risk, Data Science, Model Development. Build and maintain data-driven risk identification processes. Devise advanced analytical methods to identify anomalies and”
Industry & Context.
Identify anomalies; Identify patterns
What They're Looking For.
Must Have
Worked with large data sets, Used SQL skills, Programming language knowledge or experience (e.g. Python, R, Javascript) is essential, Understanding of credit risk principles, Worked in either payments or lending environments previously
Nice to Have
Experience developing, maintaining and implementing PD, LGD, EAD models for ECL measurement purposes is preferred
What You'll Do.
Build and maintain data-driven risk identification processes
Devise advanced analytical methods to identify anomalies and
Develop and implement Rating Scorecards
Develop and implement PD
Maintain and optimise the current Credit Risk reporting
Full Job Description
Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions daily for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Senior Risk Data Scientist at Checkout.com, you will play a critical role in the Risk Team, developing rules and models to effectively detect, prevent and manage risk within the overall Checkout.com portfolio. About You - Worked with large data sets in a data-driven environment. - Used SQL skills to extract and model data from a variety of data sources. - Programming language knowledge or experience (e.g. Python, R, Javascript) is essential. - Strong understanding of credit risk principles and has worked in either payments or lending environments previously. - Experience developing, maintaining and implementing PD, LGD, EAD models for ECL measurement purposes is preferred. What you will be doing: - Build and maintain data-driven risk identification processes. - Devise advanced analytical methods to identify anomalies and patterns within large data sets. - Developing and implementing Rating Scorecards, PD, LGD, EAD models. - Maintain and optimise the current Credit Risk reporting system. If you
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