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Job Type
Full Time -
Experience
2-4 year -
Salary
₹700,000 - ₹1,200,000 / Year -
Location
Bangalore, Karnataka, India -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Java Programming, Python Programming, SQL, Data science techniques, QlikView, Tableau, R Programming, RStudio, Analytical Techniques
Job Description
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. We’re a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We’re guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.
PayPal's GCSC Risk Organization is responsible for managing risk throughout the customer lifecycle. This is an exciting organization where contributions have a direct P&L impact. This role is part of the GCSC – Seller risk BI team. The Data Analyst will be responsible for monitoring, predictive analytics, and modelling, as well as performing research and analytics to provide data driven and actionable insights on the seller risk portfolio. As a member of the GCSC-Seller Risk-Business Intelligence Team, you will be responsible to act as a subject matter expert for Seller Risk segments (Micro, Business and Commercial) and to interact with different levels of partners and leadership to provide data driven solutions and visual infights for our business and customers that support the Seller risk strategy and goals. You will provide E2E quantitative and qualitative reviews on: fraud trends, large losses, executive escalations, root cause analysis, process improvements, test and learns, and risk indicator effectiveness to prevent loss and enable merchant business and improve customer using experience. This position is expected to demonstrate a good learning aptitude, strong problem-solving skills and innovation backed analytical ability.
Responsibilities include:
- Ability to provide qualitative and quantitative assessments on seller risk loss & experience areas including trends, tagging, model evaluation, process mapping/automation, etc.
- Use analytics and statistics to improve our ability to detect, understand and address emerging trends across the seller risk portfolio and identify levers that maximize the risk reward relationship.
- Deep dive analyses on large datasets using SQL/R/Python or other tools and structuring of analyses using MS Excel. Develop analytical insights and models using innovative statistical and modelling techniques.
- Conduct complex proactive E2E reviews based on risk indicators, complete root cause analyses, prevent loss and enable business
- Maintain and enhance management reporting dashboards using reporting tools such as Tableau, QlikView and PowerBI etc.
- Cultivate insights across the portfolio using both internal and external data, support implementation of changes.
- Partner with key stakeholders for educating, coaching and enhancing risk detections, reporting and analytics
Job Requirements:
- Bachelor’s or Master’s Degree in a relevant and quantitative field like Economics, Computer Science, Mathematics, Statistics
- 2-3 years of relevant experience in a risk analytics/data science role. Practical experience in the banking/finance services industry would be particularly desirable.
- Hands on experience using SQL, R Studio, Python is an advantage.
- Familiarity with reporting tools (QlikView and Tableau) is an advantage.
Company Info.
PayPalPayPal Holdings, Inc. is an American company operating an online payments system in the majority of countries that support online money transfers, and serves as an electronic alternative to traditional paper methods like checks and money orders.
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IndustryFinTech
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No. of Employees30,900
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Location2211 North 1st Street, San Jose, CA 95131, USA
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Website
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