Company 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 moving billions of GBP of customer money in over 70 countries, Wise needs bulletproof financials & insights into our exposures, cash positions, and customer liabilities. We need timely, accurate and scalable financial data to optimise processes and business decisions inside the company.
Job Description
Due to continued and rapid growth we’re on the hunt for a Senior Analytics Manager to lead the analytics for our Safeguarding and Ledger teams in Shoreditch, London. You’ll be part of the team that helps pilot the rocket ship.
What you’ll be doing:
Your principal responsibility will be to make an impact and lead us to better decisions for the company and our customers
Leading a team of analysts who will be responsible for curating datasets, surfacing metrics, some statistical modelling, and deeper dive analysis that we expect to influence the direction of the team and the company
You will also be the conduit between the team and the company. You’ll be expected to help stakeholders shape and understand what they want and need, and to help the team shape their work to fit that need
The team you’re applying for will be focussed on the following:
Building process to manage the integrity of our real time ledger, which covers in the tens of millions money of movements a day and on which all of our trading operations and liquidity management depend
Helping to manage our Safeguarding process, which is very complex, expensive and absolutely crucial to the Wise’s ability to operate in any market
Both teams are very heavily oriented around building solid and scalable data integrity management at speed and scale, and face off very heavily with complex engineering and regulatory requirements
Leading and managing a team of 2-3 analysts
Who you are
5-6 years experience as an analyst and 2-5 years leading others (can be overlapping)
Strong analytical ability
Intermediate to advanced SQL skills
2-4 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
Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing, some regression modelling)
Mathematical background
Previous background in Finance and Treasury not essential for the role
Desirable
DBT
Data modelling in a warehouse context
Understanding of testing and experimental design
Legally authorised to work in the UK
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.
What do we offer:
Key benefits:
Hybrid working
Paid annual holiday, sick days, parental leave and other leave opportunities
6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
Additional 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.
