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À propos
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. As a Data Scientist, you will apply your strategic and analytical skills to build monitoring solutions to combat money laundering. This job will lead development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements, analyze and derive insights from large volumes of data, implement monitoring solutions in a fast-paced environment while driving best practices in data science, ensuring data quality. Essential Responsibilities: Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Minimum Qualifications: Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. PayPal is committed to combating Money Laundering, Terrorism Financing, and related financial crimes around the world. The Global Financial Crimes (GFC) organization is comprised of specialized teams dedicated to developing and implementing effective policies, advanced analytics and thorough investigative processes that consider the risks posed by PayPal's products, customers, transaction volumes and jurisdictions in which PayPal operates. The GFC Analytics organization is looking for an incredibly talented, self-motivated and analytical individual to join the Detections & Oversight Team. This person will be responsible for development of AML and Brand Risk Management (BRM) transaction monitoring rules to provide risk coverage, as well as tuning and optimization of transaction monitoring rules to improve efficiency and effectiveness of the rules, thereby supporting the Global Anti-Money Laundering/Counter Terrorist Financing (AML /CTF) policy, BRM policy to detect Acceptable Use Policy (AUP) violations, and other GFC strategic initiatives. The successful candidate will possess deep expertise in data and statistical analysis techniques, as well as GFC policies and understanding of global AML regulations. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important assetyou. 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. 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. Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Compétences idéales
- Data Science
- Machine Learning
- Mentoring
- Data Quality
Expérience professionnelle
- Machine Learning
- Data Scientist
Compétences linguistiques
- English
Avis aux utilisateurs
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