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

Zalando Payments; Berlin; Hybrid; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Zalando Payments is looking for an Applied Scientist for Risk Management to enhance the checkout experience for customers through innovative machine learning algorithms. This role involves developing solutions for payment risk assessment and collaborating closely with software engineers while adhering to fintech industry standards. You will have the opportunity to tackle unique challenges in the fashion retail payments sector, providing a seamless and secure experience.

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 a year

Relocation assistance

Family services including counseling

Health and wellbeing options

Mental health support and coaching

Qualifikationen

• Solid foundation in mathematics and statistical methods.
• Experience and understanding of basic machine learning algorithms.
• Familiar with Python best practices and data manipulation.

Aufgaben

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

Kenntnisse

Machine Learning

Data Analysis

SQL

Python

Problem Solving

Ausbildung

Degree in Statistics, Physics, Biology, Machine Learning, Data Science, or Economics

Tools

Pandas

Spark

Jobbeschreibung

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 youll 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 WED 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 youre 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.

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 heres 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 youre 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.

• our diversity & inclusion strategy : Zalando Payments

Positioned at the bustling intersection of eCommerce and FinTech Zalando Payments helps ensure that Zalandos 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 : note that all applications must be completed using the online form - we do not accept applications via email.

Key Skills

Children Activity,Graphic Designing,Information Technology,FX,Airlines,Asic

Employment Type : Full-Time

Experience : years

Vacancy : 1