PayPal Data Scientist 

France, Auvergne-Rhône-Alpes 

646238490

What you need to know about the role-

Job Description:

• will be part of the Controls organization that is key to manage CORS’ model governance and monitoring process accurately and adequately as part of the larger PayPal risk management process.
• You will be the critical resource who will be facilitating and helping in reviewing statistical model constructs, guiding model developers and model owners in preparing analyses and model documentation, ensuring that the models are approved by all Second Line oversight teams to make sure all the policy are adhered to and also conduct ongoing monitoring of models to evaluate model performance on a frequent basis.

Your day to day

In your day to day role you will:

• Independently manage the new model governance and monitoring process for all models spanning across the credit lifecycle used in Credit and Fraud Risk, Collections business as-well as CECL/IFRS-9 regulatory models.
• Interface with all levels of management to present model approval status including model developers, model owners / users, partner banks, model oversight teams as well as other stakeholders in various forums.
• Ability to negotiate to reach appropriate resolutions in varied situations without damaging internal or external partner relationships especially when any bottlenecks are encountered in model reviews.
• Perform ongoing performance monitoring set up for credit models and understand the different statistical metrics and generate reports to be disseminated across the organization.
• Conduct deep dives into performance monitoring results especially if any threshold breaches are observed.
• Identify opportunities and lead efforts for automation of processes across the Controls organization.

What do you need to bring-

• Bachelor / master’s degree in quantitative area strongly preferred – including mathematics, statistics, engineering, computer science, economics or finance
• 4+ years’ experience in model development or model validation / model risk management in consumer and/or business financing credit risk, good to have regulatory model experience.
• Strong verbal and written communication skills along with stakeholder management with the ability to clearly articulate questions, provide senior management with relevant information and respond to any questions they may have.
• Manage dialogue across multiple business units, functions, geographies, bank partners and second line teams.
• Proficient in Python, SQL and have good understanding of statistical techniques used for model development including Machine Learning algorithms.
• Good to have exposure in advance excel and dashboard preparation.
• Excellent written and oral communication skills as well as stakeholder management skills.
• Team worker, responsible, delivery oriented

Travel Percent:

Any general requests for consideration of your skills, please