- This position is part of the Global Commercial Lending Credit Risk team and will be responsible for performing data analytics using machine learning tools to identify opportunities and build strategies to mitigate risk associated with commercial lending portfolio
- This position will play a crucial role in developing and refining credit risk management strategies pertaining to New Accounts acquisition.
- This position will be responsible for analyzing large datasets identifying trends and providing insights to inform decision making processes aimed at mitigating credit risk exposure for the organization.
Meet our team
- You will directly impact the Global Merchant Lending business by delivering strategies that will enable overall growth of the commercial lending portfolios, while effectively managing credit risk.
- You will report to Manager, Global Commercial Lending
- The GML Credit Risk team directly supports the GML Business Unit and other relevant key stakeholders across PayPals Consumer, Merchant, Credit, and Payments Business Units.
Job Description:
Your way to impact
You believe in data-driven decisions and use data to create risk management strategies and answer business questions
You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/B experimentation)
You are a highly motivated, result-oriented, enjoy working in a fast-paced environment, and can deliver successful results with required guidance
Your day to day
Data Collection and Preparation: Gathering loan application data from various sources. Cleanse and preprocess the data to ensure accuracy and consistency. Perform data validation and quality checks to identify and resolve anomalies
Conduct exploratory data analysis to identify patterns and correlation
Utilize statistical methods and machine learning techniques to develop risk management strategies
Collaborate with partners and stakeholders teams to implement new strategies
Refine credit policies and underwriting criteria based on data-driven insights
Monitor the effectiveness of credit policy changes and iterate on strategies to achieve desired outcomes
What do you need to bring-
A bachelors or masters degree in business, finance, economics, or a related field.
Prior experience in credit risk management, or a related field.
Bachelor s degree or higher in a quantitative field such as Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline.
3+ years post-college working experience within the data-mining, quantitative research or analytics organization. Credit Risk experience is a must.
Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis.
Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis.
Must have good business judgment with demonstrated ability to think creatively and strategically.
Aptitude and willingness to roll-up the sleeves and get involved in the details.
Proficiency in Python, R and SQL.
Excel, Word, and PowerPoint proficiency
Must have good business judgment with demonstrated ability to think creatively and strategically.
Aptitude and willingness to roll-up the sleeves and get involved in the details
