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You will be updated with latest job alerts via emailYour Mission:
At Wise weve 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 the growth of the company. We need timely accurate and scalable financial data to make accurate business decisions inside the company.
Due to continued and rapid growth were on the hunt for a Lead Analyst to lead our Liquidity and Safeguarding team in Shoreditch London. Youll be part of the team that helps pilot the rocket ship.
What youll 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. Youll 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 youre applying for will be focussed on the following:
Analysing the causes of our growth (or lack thereof) and publicising those findings among key decision makers to inform a better company strategy
Working with your team and stakeholders to build repeatable explanatory frameworks around our growth performance
Working with our DS teams to build customer models to help simplify and enhance our understanding of our own performance
Partnering with other analytics teams to inform their local efforts with our own global perspective
Leading and managing a team of 2 analysts
Who you are
56 years experience as an analyst and 25 years leading others (can be overlapping)
Strong analytical ability
Intermediate to advanced SQL skills
Understanding of stats and statistical modelling (measures of central tendency understanding of variance and testing feature engineering some regression modelling clustering techniques)
24 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
Mathematical background
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:
Salary:
Company Restricted Stock Units
Numerous great benefits in our London office
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. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Fulltime
Full-time