WISE

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:

???? Base salary of £75k - £100k (based on experience)

???? RSU's in a growing and publicly listed company

???? Work from (almost) anywhere in the world for up to 90 days a year

???? Flexible working - you’re trusted to do the right thing and be responsible

???? Private Medical Insurance + Life Insurance

????️ Discounted gym memberships and cycle to work scheme

????️ A paid 6-week sabbatical leave after four years

???? 26 weeks maternity leave at full pay

???? An annual self-development budget

???? Annual Mission Days festival

???? Pet friendly offices

Find out more about our benefits in our London office.

QualificationsAdditional Information

For 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.