Senior Data Scientist

IND - Karnataka - Bengaluru - Corp - Sarjapur Main Rd

PayPal

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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:

What you need to know about the role-

The Collections Loss Forecasting Data Science role will be responsible building forecast to predict delinquency and losses across a range of credit and payment products. In addition, the role will focus on data driven analysis help drive fact based decisions across Collections.

Job Description:

Your way to impact:

The Collections Loss Forecasting role will focus on building challenger forecasts that directly tie the efforts of Collections strategies and tactics to the success of the business.

Your day-to-day:

  • Communicate findings and recommendations to senior management and other relevant stakeholders through clear and concise reports and presentations.

  • The role will also require hands on technical coding skills to query and analyze data to help drive decisions impacting Collections

  • You will work closely with cross-functional teams to leverage data-driven insights for decision-making, loss forecasting, and strategic planning.

  • Stay turned in on industry trends, regulatory changes, and best practices in loss forecasting and risk management.

What you need to bring:

  • Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline

  • Proficiency in programming languages such as Python, R, or SQL and experience working with big data technologies

  • Proven experience (5-7 years) in conducting data analysis within the financial services industry, preferably in credit risk management collections or loss forecasting.

  • Proficiency in SAS, Python and SQL

**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

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.
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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data Credit risk Data analysis Economics Finance Mathematics Python R Research SAS SQL Statistics

Perks/benefits: Flex hours Health care Insurance

Region: Asia/Pacific
Country: India
Job stats:  2  1  0
Category: Data Science Jobs

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