Manager, Data Science 3
USA - Pennsylvania - Virtual
PayPal
Verwende dein PayPal-Konto, um zu bezahlen, Geld zu senden und zu verwalten. Oder erstelle dir ein Händlerkonto für dein Unternehmen. Und noch vieles mehr.At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.
Job Description Summary:
The Credit Analytics team requires a Risk Manager to deliver compelling analytic insights on the performance of the PayPal Credit portfolios and lead risk appetite, stress testing, asset quality and other reporting needs. The day-to-day job involves helping inform leadership with data-driven decisions based on analysis of huge data sets in a complex, fast-paced, dynamic environment. Ideal candidates are problem solvers with experience in decision science roles, equipped with strong analytical skills suited to approach varied challenges in complex big data environments. As an Analytics professional, you will be required to drive projects and solutions from start to finish. 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.Job Description:
Specific Responsibilities
- Collaborate with all aspects of the PayPal Credit business including a broad range of partners to plan and deliver fully developed solutions for Risk Appetite, Stress Testing, Asset Quality, Exception Monitoring and other reporting needs
- Develop data-driven decision support and insights to support our Credit business, monitor the performance of our Credit products, and adjust priorities according to the dynamic world we operate in.
- 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.
- Communicate complicated analytic results in brief, concise formats tailored to a variety of audiences
- Document, improve, and automate existing PayPal Credit reporting processes to reduce the burden of internal and external reporting requirements on all members of the PayPal Credit team
- Manage and improve the process of data collection, ingestion, manipulation, and display for risk related reporting processes
Functional Skills & Behaviors
- Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages
- (Python, Perl, R, etc.) to translate data into business decisions/results
- Must have good business judgment with demonstrated ability to think creatively and strategically
- Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
- 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.
- Comfortable with ambiguity and frequent context-switching in a fast-paced environment
Qualifications
- Candidate must have proven experience in the ideation, research, discovery, development, implementation, and ongoing monitoring of quantitative solutions for consumer credit or small business credit.
- Candidate must have 5+ years of experience in a lending related position
- Well-formed foundation of education and work experience in Data Science and Risk Analysis, preferably in applied data science, statistics, mathematics, or computer science
- Familiarity with data engineering, data management, data modelling, standard ETL techniques including extract, deduplication, cleansing, integration, and aggregation
- Excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical development teams
- BS/BA degree in related field required or equivalent professional work-related experience. (e.g. statistics, data science, computer science, engineering, operations research, or mathematics); preferably an advance degree.
Additional Job Description:
Subsidiary:
PayPalTravel Percent:
0Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:
Click Here to learn more about our culture and community.
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com , https://about.pypl.com and https://investor.pypl.com.
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. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Any general requests for consideration of your skills, please Join Our Talent Community.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data management Engineering ETL Hadoop Mathematics Perl Python R Research SAS SQL Statistics Testing
Perks/benefits: Health care Insurance Startup environment
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