Wise is a global technology company, building the best way to move and manage the world’s money.

Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.

For everyone, everywhere.

More about our mission and what we offer.

We are looking for an Analytics Manager to join the Internal Audit branch of the Compliance & Internal Audit Analytics team at Wise.

You’ll partner with Internal Audit (IA) to develop and implement the analytics strategy across the function. You’ll lead a team of 1-2 analysts, so your time will be split between hands-on work and leadership responsibilities. You’ll lead the execution of analytics tasks across a programme of audits and ensure quality standards and rigor are maintained.

Internal Audit serves as an independent 3rd line of defence that oversees and provides an independent assessment and reasonable assurance on the effectiveness of the company’s corporate governance structure + internal controls. 

The IA Analytics team supports IA by using analytics to provide more coverage, efficiency and accuracy to audit testing, as well as building innovative tools and using automation to support continuous testing and other IA activities beyond the annual audit plan.

This is an AL1 role. For more information on our Analytics Career Map and levelling structure, click here.

WHAT YOU’LL BE DOING

• Partnering with stakeholders across the IA function covering all regions, products and domains of the business (including Financial Crime, Ops, Risk, Finance and Technology)
• Managing and leading the execution of impactful, innovative, and date-led analytics tasks across a programme of audits and strategic initiatives
• Leading and developing a team of 1-2 analysts: helping them to set priorities, coaching for impact, and maintaining quality standards
• Working with analytics, engineering, and business specialists to seek out and understand interesting and varied datasets, perform analytics using modern approaches, and develop a strong understanding of operations at Wise