SQL Data Scientist

2 weeks ago


London, Greater London, United Kingdom Checkout Group Full time
Our mission is to enable businesses and their communities to thrive in the digital economy.

We're the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others.

Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love.

We're building diverse and inclusive teams around the world — because that's how we create even better experiences for our merchants and our partners.

And we need your help. Join us to build the digital economy of tomorrow.
We empower businesses in the digital economy, and we know that every payment counts.

Our Payment Performance team's mission is to manage and optimise merchants' payment flow, to achieve optimal conversion, compliance and cost.

com is looking for a Data Scientist in Payment Success to craft an all-encompassing payments strategy tailored specifically for our Tier-1 merchants.

You will be the main point of contact for a merchant regarding their payment performance.

You will play a critical role in defining, delivering and building tools for the right insights to showcase the value of our optimal payment strategies.

You will work closely with Payment Performance engineers and data scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross-functional stakeholders to establish priorities and drive merchant performance improvements.

Hybrid Working Model:
All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.
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.

2+ years in the FinTech and/or Payments industry, ideally providing payment analysis and strategic advice to stakeholders
~ Data driven approach, byclearly definingsuccess metrics and measuringprogress against them
~ SQL / Python knowledge to extract & analyse large data from our Data Warehouse
~ Bachelor's degree, preferably in Mathematics / Statistics / Computer Science / Engineering, Finance or equivalent
~ Hiring hard-working people and giving them a community to thrive in is critical to our success.
Hiring hard-working people and giving them a community to thrive in is critical to our success.

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