London
41 days ago
Lead Data Analyst - Safeguarding

Company Description

At Wise, our mission is to achieve "Money Without Borders" — making financial transactions fast, convenient, transparent, and eventually free. Millions of people around the world use Wise to send, spend, hold, and receive money across multiple currencies.


Job Description

At Wise, we’ve got a clear mission — money without borders. Built by and for people who live global lives. As a FinTech company holding billions of GBP of customer money through our Wise Account product, we need bulletproof reporting on and insights into how we keep our customers’ money safe. We need timely, accurate and scalable data to perform critical reconciliations and controls, and optimise our Safeguarding decisions and processes for liquidity, FX, operations and more. You can read more about Safeguarding here.

We’re on the hunt for a Lead Data Analyst to join our Safeguarding team in Shoreditch, London. You’ll be part of a team that’s foundational to the Wise product and mission!

What you’ll be doing:

Curating datasets, surfacing metrics, sizing opportunities, and deeper dive analysis to discover inefficiencies and optimise the team’s approach to Safeguarding

Building and maintaining critical data pipelines

Performing data reconciliations and hunting down and explaining discrepancies

Liaising with FX, Liquidity and Operations teams to understand how to improve Safeguarding processes to achieve lower costs and risks and these areas

Possibility to lead one other analyst within the team

Who you are:

Advanced SQL and data modelling skills

Proven experience building data pipelines

Strong analytical ability

3-5 years experience in similar roles

Data visualisation and storytelling ability

Ability to self organise and manage stakeholders

Demonstration of impact/going above and beyond basic role requirements

Python/R for data manipulation and analysis

Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing, some regression modelling)

Mathematical background

Desirable:

DBT 

Data modelling in a warehouse context

Experience working in a highly-regulated and audited environment

Experience working with Financial data and ledgers

Some important stuff we would like you to know

To meet our regulatory obligations as a licensed financial services company, Wise needs to conduct background checks on all new hires, which in the Finance team includes Criminal and Credit checks. Please discuss with the Recruiter if you have any concerns regarding this process.

BENEFITS:

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