Integrity: We always do the right thing. It’s simple, but it’s the foundation of everything we build for our customers and each other.
Outcomes: We work for our customers. Their success and prosperity are the results we focus on delivering.
Velocity: We are fast! We maintain high energy levels and make smart decisions quickly, keeping us nimble and ahead of the curve.
Technical Project Management: Independently lead technical projects from conception to deployment. You will be responsible for defining timelines, managing resources, and ensuring the delivery of high-quality data solutions without constant supervision.
Business Partnership: Collaborate with data analysts, and business stakeholders to translate commercial objectives into well-defined technical projects. You will act as a primary point of contact for partners, ensuring they have reliable self-serve data for strategic decision-making.
Advanced Data Analytics: utilize Python and SQL to perform deep-dive analytics and build automated scripts. You will also utilize tools like Excel for rapid prototyping and business-facing reporting.
Reconciliation & Financial Integrity: Oversee data reconciliation processes to ensure financial accuracy. (Experience with tools such as AutoRek or ReconArt is highly valued here).
Tooling & Optimization: Lead the adoption of data transformation tools to empower teams in their data-driven decision-making processes.
Experience: 5+ years of experience in analytics engineering, data engineering, or a similar role.
Industry Experience: Proven experience in the financial services or FinTech industry, particularly with cross-border payments.
Technical Skills: Proficiency in SQL and at least one programming language (e.g., Python) is required for data manipulation and scripting.
Data Technologies: Hands-on experience with data warehouse technologies, specifically Databricks.
Problem-Solving: Excellent analytical and problem-solving skills with strong attention to detail.
Communication: Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders and partners.
Reconciliation Tools: Experience with AutoRek, ReconArt, or similar financial reconciliation software.
BI & Visualization: Proficiency with business intelligence tools such as Tableau, PowerBI, or Looker.
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A genuine curiosity about AI and how it can be applied in your area of work — from accelerating analysis and insight generation, to improving how we design and deliver processes and communications.
Practical experience using AI tools in a professional context — whether to connect information, draft content, build frameworks, or create insights from data. We want people who actively use AI to increase productivity, not those who are waiting to be told to.
Strong AI literacy — an understanding of what AI assistants can and cannot do, how to prompt effectively, and how to critically evaluate AI-generated output before using it.
Awareness of the ethical considerations and responsible use of AI in the workplace, particularly in the context of sensitive data, customer experience, and compliance.
Prior experience using Claude (Anthropic) is a nice-to-have but not essential — what matters most is that you are genuinely engaged with AI as a tool, comfortable experimenting, and eager to share what works with your wider team
About Zepz
Financial Services501-1,000Founded 2010
Zepz is a digital cross-border payments group behind the WorldRemit and Sendwave remittance brands. Its services let customers send money internationally across global payment corridors.