Checkout.com은 결제 성공률 최적화를 담당할 Data Scientist를 채용합니다. SQL과 Python을 활용한 데이터 분석 역량과 3년 이상의 분석 실무 경험이 필수입니다. A/B 테스트 및 머신러닝을 통해 가맹점의 성과를 개선하고 비즈니스 인사이트를 도출하는 핵심 역할을 수행하게 됩니다. 런던 본사에서 근무하며 하이브리드 근무 환경을 제공합니다.
Company Description
We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Deliver expertise and guidance to our key merchants by crafting optimal payments strategy.
Conduct deep-dive exploratory data analysis to uncover insights and anomalies
Conduct experiments and A/B tests to improve performance, including ML based solutions.
Develop cutting-edge automation tools aimed at monitoring and optimising merchants’ performance.
Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI.
Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development
Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided
Drive a culture of cross-team learning and knowledge sharing
3+ years in an analytical role either at a Fintech or Consultancy, using analysis to make business recommendations
A huge advantage if you have previous experience working as Payment Analyst/Expert
Data driven approach, by clearly defining success metrics and measuring progress against them
SQL / Python knowledge to extract & analyse large data from our Data Warehouse
Good knowledge of today’s major e-commerce and payments technologies and trends
Customer driven and able to establish robust relationship with assigned customer base
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
