Fraud Data Scientist 2

6 months ago

Bengaluru Karnataka, India PayPal Full time

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary: What you need to know about the role
- Global Investigations (GI) is looking for a highly talented, self-motivated, and analytical individual to join the Fraud Science and Intelligence Team (FSI). Meet our team The mission of Fraud Science and Intelligence (FSI) is to identify and disrupt sophisticated criminal networks targeting PayPal, safeguarding our platform and protecting our customers. Driven by a commitment to collaboration and innovation, FSI integrates cutting-edge data analytics, innovative fraud detection techniques, and advanced threat intelligence to combat financial fraud. Our collaborative efforts extend across PayPal, driving state-of-the-art advancements in fraud prevention, product security, and loss mitigation. We are committed to fostering a culture of continuous learning and innovation, where every team member contributes to the security of our payment ecosystem.

**Job Description**:
**Your way to impact**

The FSI Data Scientist will identify complex fraud patterns through data mining, graph data science, and the development of internal investigative software. Your research will seek to connect seemingly disparate fraud trends that are perpetrated by sophisticated threat groups and track them across the enterprise. This work supports PayPal’s Global Financial Crimes organization by enhancing fraud risk controls, recovering funds from networks of bad actors, and by furnishing timely intelligence data, at scale, to pinpoint abusive activity on the platform.

**Your day to day will include**:

- Develop and deploy algorithms for linking, clustering, and pattern recognition based on various attributes.
- Create and select relevant features from raw data for use in FSI’s fraud linking framework.
- Continuously improve the speed, reliability, and scalability of FSI tools.
- Leverage partner teams’ investigative findings to rapidly deploy new fraud identification techniques.
- Identify opportunities to extend FSI linking solutions with internal partners’ technology stacks for holistic fraud prevention.
- Lead FSI’s engagement with PayPal’s data science and technology organizations.

**What do you need to bring-**

**4-5 bullet points**
- Skilled in performing exploratory data analysis to identify patterns, trends, and anomalies.
- Proficient in cleaning and preprocessing large datasets to ensure accuracy and consistency.
- Strong SQL experience to create, maintain, and optimize complex queries and database structures.
- Advanced proficiency in Python. Experience with libraries and tools for string processing and pattern recognition.
- Understanding of financially motivated cybercrime trends and typologies.
- Team player, energetic personality, curious, able to work efficiently in a fast paced, changing environment.

Our 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.

Who We Are:
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

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