Job description

About Zing

Zing is a brand new fintech designed to make international money worry-free for anyone who sends, spends, or converts international currencies. Zing has been developed within the HSBC Group to work for anyone, even if they don’t have a HSBC account, so we can be an agile fintech whilst reaping the benefits of having one of the world’s biggest international banks as our parent. We’ve recently launched in the UK and have ambitious plans to scale both within the UK and internationally at pace. 

Check us out:- https://www.zing.me/

Why join Zing?

We’re only at the start of our exciting journey but we’ve already generated significant media interest. If you want to help build out a highly visible global fintech and work with a global bank as a partner, then this could be the opportunity for you!  In addition, we offer:-

• Competitive package + benefits
• Hybrid work arrangements and flexible working hours
• A dynamic and challenging working environment
• Responsibility from day one in a fast growing and global company, in a start-up context
• A vibrant and international team with diverse backgrounds
• Regular social and team events

As part of our global expansion, we are looking for a Data & Analytics Lead, where you will focus on implementing the data strategy for the business. The strategy for this team spans the entire data spectrum: engineering, data modeling, data science, analytics, reporting, customer selections, data visualisation, architecting use cases with other teams, data governance and commercial data strategy.

The ideal candidate will be an experienced Data specialist and well-rounded enough to both architect use cases across multiple fintech functions, and work with the Data Tribe day-to-day to deliver them.

What you will be doing:

The role’s primary focus is to design and deliver the data strategy for a mobile-first fintech app.

• Design and deliver an inspiring, fit-for-purpose roadmap and vision for the Zing data strategy.
• Work and manage a high-performing team of data specialists comprising data engineers, BI analysts and data scientists.
• Be a visible SME across the organisation, even outside of the data domain.
• Be the relationship manager for the Data tribe across the other functions such as: Product, Growth, Marketing, Design, Risk, Pricing, Technology, Customer Service, Operations, Risk, Partnerships.
• Fulfil operational and strategic reporting & data visualisation needs across the organisation.
• Manage the business logic in the singular, semantic reporting layer so definitions of KPIs are applied consistently.
• Fulfil the operational data needs for customer marketing and service messaging.
• Design, deliver and operate the appropriate controls for the data and analytics environment, spanning the principles of robustness, good data quality, privacy-conscious, secure and minimal redundancy in collection, movement, storage, usage and access.
• Craft the compelling written and spoken narrative to drive action: “Make them think what we think”.
• Be a thought leader and help deliver the first use cases for genAI.

Requirements

What you will need to be successful

• Technical expertise in tools spanning: data warehousing, ETL, internal visualisation and analytics. Good examples are Snowflake, GCP, Azure Analytics, Sagemaker, Databricks, Tableau, PowerBI, Looker, Quicksight, Airflow, astronomer.io, Alteryx, Collibra.
• Hands on experience and / or a detailed and deep understanding of the workflow and approaches of:
• BI analyst for visualisation, general analytics and operational processes
•  Data engineer for ETL and general data management\modelling
•  Data scientist / Modelling workflow for machine learning
•  Data governance controls
• Obvious experience working with functions in fintech or financial services such as:
• Commercial / Product / Growth / Marketing / Pricing / Strategy
•  Customer Service / Operations / Risk / Finance / Treasury
• Experience working with partners in analytics, e.g. marketing attribution for mobile, product analytics, CRM. Good examples are Braze, Salesforce, Appsflyer, ABTasty, Mixpanel.
• Fluent in API / event / micro-service based back-end architectures on the Cloud
• Strong discipline in optimization, test and learn, hypothesis-based experimentation to drive better CX, revenue or cost saves. And further able to cajole and enable other teams to have an experimentation agenda.
• Demonstrated experience working in and with teams that deliver software using a form of Agile development.

If you’re looking for a career that will make you stand out, join us at Zing and fulfil your true potential. Whether you desire a new role that could take you to the top, or one that’ll simply take you in an exciting new direction, Zing offers opportunity, support and rewards that will help you realise your goals.