Manager - Risk Forecasting in Wilmington at PayPal

Date Posted: 7/10/2019

Job Snapshot

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Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 277 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

Our Global Credit Risk team is looking for a seasoned risk manager with strong knowledge of data science to work on our next generation CECL-compliant loss forecasting models. Leveraging state of the art machine learning/econometrics techniques together with PayPal’s huge proprietary database you will help articulate, predict, quantify, and communicate account-level credit risk which will drive PayPal’s credit-related loss reserves. You will be required to interact with a cross functional team, including finance, accounting, operations, technology, and risk. Having a strong sense of accountability coupled with a passion for delivering crisp data insights and the ability to tell stories through data are essential. Experience with IFRS9 and understanding of CECL loss forecasting models is a plus. Ideal candidates have a credit risk background and experience with complex big data environments.

Specific Responsibilities

  • Build, run and document CECL-compliant loss prediction models for global credit products leveraging internal performance data and various macroeconomic inputs
  • Communicate complicated analytic results in brief, concise, and brilliant formats best suited to senior audiences
  • Conduct regular stress testing to ensure portfolio maintains minimum profitability measures
  • Participate in monthly/quarterly reserve setting process with Finance and Accounting
  • Monitor global portfolio performance to ensure its within PayPal’s Credit Risk Appetit
  • Partner with Operations to conceive, design & monitor strategies to improve credit losses
  • Analyze large volumes of internal and external data using common data science tools (SAS, SQL, R, Python, etc.) to deliver unique insights into relationships across a wide array of products, platforms, customers, merchants, and experiences.

Functional Skills & Behaviors

  • Basic understanding and Knowledge of machine learning / econometrics
  • Articulate, executive level presentation and communication skills
  • Be data-driven and outcome-focused
  • Must have good business judgment with demonstrated ability to think creatively and strategically
  • Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work
  • Learns continuously; Seeks out knowledge, ideas and feedback.
  • Looks for opportunities to build skills, knowledge and expertise.
  • Comfortable with ambiguity and frequent context-switching in a fast-paced environment


  • Minimum Bachelor’s degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline;  Preferably an advanced degree.
  • 7+ years of proven Risk and Collections experience in Financial Services, Payment Transactions or other financial related industry
  • Analytical and project management experience
  • Excel and spreadsheet analysis;  Handling and building complex formulas in Excel spreadsheet;  
  • Risk Management;  Collections strategy;  Statistical analysis;  Loss modeling;  Building complex forecasting model using advanced Excel functions
  • SAS and SQL skills to be able to run data queries and research risk strategy and collections impacts; experience using common data science tools like R and Python to rapidly solve business problems preferred.
  • PowerPoint user, for management communications and broad organizational readouts 
  • Experience with CECL is a plus (Current Expected Credit Loss)

We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.