Company DescriptionWise is a global technology company, building the best way to move and manage the world’s money.Min fees. Max ease. Full speed.Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.As part of our team, you will be helping us create an entirely new network for the world's money.For everyone, everywhere.More about our mission and what we offer.Job DescriptionWe're looking for a Analytics Engineering Director (AEL 3) in Servicing to join our Analytics Engineering team in London.Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world's first platform to offer true multi-currency banking. Your mission is to help us build better products faster by making it easy for Wisers to make data-informed decisions.At Wise, we work with over 300+ Analysts and more than 7000 weekly active users of our Business Intelligence Tools. As a Senior Analytics Engineering Manager, you'll be crucial in ensuring it's easy to find & load relevant, trustable data quickly.Here's how you'll be contributing to the Analytics Engineering teamPeople Leadership: You will scale an existing team of 8 to 20+ within the next 12 months - keeping the bar high while scaling and ensuring everyone on the team is consistently growing.Defining & Implementing Strategy: You will work closely with the Engineering, Product & Analytics leads of the Servicing tribe (FinCrime, Customer Support, Risk) to drive the strategy for how we can utilise Data & Analytics for best outcomes for our customers.Core Data Sets: You will play a key role in ensuring trustable, discoverable, context-enriched core datasets exist. This involves working closely with users of these datasets as well as Engineers emitting the source data they’re based on.Tooling Evangelist: Ensure Wise stays ahead of the curve by acting as the go-to expert for new tooling like AI applications - including conversational AI, leveraging AI for data asset enablement, and workflow optimisation. Leading its adoption and successful rollout across the organization. You’ll own metrics to track the success of this like lead time for getting new data assets live.Best Practices Driver: Assess and implement data modelling best practices across your tribe, elevating our data capabilities and cost sustainability.QualificationsWhat do I need to bring to the role? Project Leadership: You have a track record of creating & implementinglong-term, strategic projects (2+ year time horizon, cross-functional). Stakeholder Engagement: You're able to build strong empathy for your stakeholdersand internal customers, proactively identifying and solving their problems. Impactful Storytelling: Excellent storytelling ability with data, translating complexinsights into defensible, digestible & actionable narratives. Technical Expertise: Advanced proficiency in SQL and Python is a must (code-review) + Architecture review Data Pipelining & Modelling: Prior experience in building robust analyticspipelines and designing effective data models. Tooling: Able to own the roadmap for implementation of best practices regardingBusiness Intelligence Tools like LightDash and transformation tools likedbt. Ideally you have implemented multiple tools and workflows at your previousorganisations and are ready to meet any challenge regarding securityimplementation, technical implementation & adoption.Additional InformationBase salary: gross / year base (based on experience & interview outcomes)Restricted Stock Units (RSUs)Numerous amount of best in class benefitsFlexible working - whether it’s working from home, school plays or life admin weget that flexibility is essential and you’re trusted to do the right thing and beresponsiblePaid annual holiday, sick days, parental leave and other leave opportunities6 weeks of paid sabbatical after 4 years at Wise on top of annual leaveFor everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.If you want to find out more about what it's like to work at Wise visit Wise.Jobs.Keep up to date with life at Wise by following us on LinkedIn and Instagram.SummaryType: Full-timeFunction: AnalystExperience level: Mid-Senior LevelIndustry: Financial Services
Analytics Engineering Director - Servicing in London employer: Wise
Wise is an exceptional employer that fosters a culture of inclusivity and innovation, making it an ideal place for a Lead ML / Data Scientist to thrive. With a hybrid working model, generous personal development budgets, and a commitment to employee growth, you will have the flexibility and resources to excel in your role while contributing to meaningful projects that redefine how money moves globally.
