It is a senior strategic role, responsible for providing risk analytics support to Financial and Model Risk oversight groups, including but not limited to Credit, Collection, Fraud, Seller, Acquiring, Treasury oversight. This role connects the dots between business, model, and data by providing insights through in-depth data analysis. This role also provides critical support in ad hoc analysis required for business enablement and new risk initiatives to support PP’s growth.This role is part of the broader AI/Model/Quant Risk Oversight function.• Oversees and proactively challenges our model use and AI application.
• Supports effective modeland responsible AI innovation
• Ensure model/AI practice meets regulatory compliance requirement, strengthening decision-making, protecting customers and safeguarding the company from financial and reputational damage
• Partners with financial risk oversight groups in conducting in-depth, thematic reviews of various products and risk functions, providing data insights and expertise around strategy development and risk mitigations
You will make an impact by ensuring that;
- Support Credit & Collection, Fraud, Seller, Merchant acquiring, Treasury oversight with data insights to enable effective challenges
- Provide critical support in ad hoc analysis required for business enablement and risk initiatives
- Leverage AI to enhance risk analytics functionality to bring out more data insights
- Contribute to the major uplift of data infrastructure and other requirement per PPEU ECB supervision readiness project
In your day-to-day role you will;
- Oversee and challenge risk analytics practices across various groups within the company, primarily focused on Fraud, Seller and Credit risks, including use of machine learning and advanced analytics to detect and mitigate risks
- Conduct root cause analysis to identify opportunities and gaps in existing strategies and controls.
- Develop and analyze multiple reports and dashboards, looking at key risk indicators and relevant business metrics to uncover emerging trends and areas of opportunities
- Provide thought leadership and seek best-in-class solutions in the analytics, machine learning, authentication and identity verification spaces.
- Partner with financial risk oversight groups in conducting in-depth, thematic reviews of various products and risk functions, providing data insights and expertise around strategy development and analytics.
- Education:
- A master’s or advanced degree in a quantitative field such as statistics, mathematics, finance, or economics.
- Experience:
- More than 15 years of experience in risk (Model, Fraud, Credit, Market, Liquidity, etc.) or similar highly quantitative roles
- Fundamental understanding of financial and banking risk
- Robust coding skills for big data and AI systems
- Builds relationships across multiple teams and at various levels, able to navigate complex organizations to influence and achieve desired results.
- Manages, supports and/or executes several simultaneous projects with different levels of engagement and urgency.
- Has a flexible and curious mindset. Understands the business needs and adapts risk controls accordingly.
- Exceptional communication, writing, and presentation skills to convey technical concepts to stakeholders at all seniority levels (executives, regulators, auditors, etc.).
- Ability to work effectively both independently and collaboratively in a high-pressure, fast-paced environment
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national annual pay range for this role is
$120300 to $287100
Our Benefits:
Any general requests for consideration of your skills, please
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