Applied Scientist - Risk Management / Risk AI (all genders)

Zalando; Deutschland; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Zalando is seeking an Applied Scientist for Risk Management to enhance the payment experience through machine learning. The role involves developing algorithms for risk assessment and collaborating with engineers to ensure secure transactions. Ideal candidates will have a relevant degree and a strong foundation in machine learning and statistics.

Leistungen

Employee shares program

40% off fashion and beauty products

2 paid volunteering days a year

Hybrid working model

Work from abroad for up to 30 working days a year

27 days of vacation for full-time employees

Relocation assistance available

Health and wellbeing options

Qualifikationen

• Solid foundation in mathematics and statistical methods.
• Experience with basic machine learning algorithms.
• Interest in improving and building performant machine learning products.

Aufgaben

• Research and develop machine learning solutions for payment risk assessment.
• Collaborate with engineers to deploy machine learning algorithms.
• Analyze data patterns to understand business problems.

Kenntnisse

Problem-solving

Data analysis

Machine learning

Statistical methods

Ausbildung

Degree in statistics, physics, biology, machine learning, data science, or economics

Tools

Python

SQL

Pandas

Spark

Jobbeschreibung

THE ROLE & THE TEAM

Zalando Payments is responsible for the end-to-end checkout experience for all Zalando customers. As an Applied Scientist for Risk Management you will build, evaluate, verify, and deploy machine learning algorithms that allow our customers to pay in a secure and seamless way. Fashion retail imposes many interesting challenges on the payment experience that we address through tailored deferred payment options and other products. The predictive algorithms you will build in this role assess the pre-order risk of offering deferred payments, and you'll work closely with software engineers to put those algorithms into production. You will make sure the product complies with the demanding and high standards of the fintech industry.

WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)

• Research and develop machine learning solutions to solve business problems such as payment risk assessment and forecasting of various KPIs.
• Make sense of the messy patterns within data. You thrive on using analytics approaches to understand the problem you're working on, and being a data detective.
• Collaborate with engineers to put machine learning algorithms into production.
• Learn and develop, and share your knowledge with your colleagues. We are excited to teach you new technologies and approaches, and to learn from you.

WE'D LOVE TO MEET YOU IF...

• You have a degree in statistics, physics, biology, machine learning, data science, economics or another relevant field.
• You have a solid foundation of knowledge in mathematics and statistical methods. You can easily explain the importance of a p-value, and what are its pitfalls.
• You have experience and understanding of basic machine learning algorithms. You have an interest in learning how to improve/perfect and generally build more performant machine learning products.
• You bring excellent problem-solving skills, with a logical and pragmatic attitude.
• Ideally, you are familiar with the python best practices. You also know how to make sense of data using SQL and relevant python packages (pandas, spark).

OUR OFFER

Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
• 2 paid volunteering days a year
• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year to start for full-time employees
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Wellhub)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review

INCLUSIVE BY DESIGN

At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.

We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion

About Zalando Payments

Positioned at the bustling intersection of eCommerce and FinTech, Zalando Payments helps ensure that Zalando's customers can securely pay how they want when they want.

Zalando Payments builds the technologies for all financial transactions in the Zalando fashion store and our other consumer-facing apps. We work to deliver a flawless user experience in the checkout, as well as the processing of payments and reconciliation in the backend.

Payments website: https://sites.google.com/zalando.de/zalando-payments/what-we-do

Please note that all applications must be completed using the online form - we do not accept applications via email.