Finance Implementation Manager

Wise
London
10 months ago
Applications closed

Related Jobs

View all jobs

ERP Data Analyst (Finance)

Finance Data Analyst

Finance Data Analyst

2 x Data Analyst - Local Authority

Lead AWS Data Engineer

Lead AWS Data Engineer

Company Description

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 and .

Job Description

We’re looking for a Finance Implementation Manager to join our fast growing Finance Product team in London. This role is a unique opportunity to have an impact on Wise’s mission by ensuring we build smart and scalable internal financial systems and empower millions more people with instant, borderless money.

Your Mission

As a financial institution moving billions of GBP of customer money in more than 70 countries, Wise must have bulletproof financials. 

Wise is rapidly expanding globally, creating new products to consumers and businesses, and entering new jurisdictions. This is a unique opportunity to lead complex projects implementing new Wise products and markets into Wise’s finance system supporting Wise in being financially compliant and ensures our bigger team can make timely, accurate and sustainable business decisions based on a global set of financials.

How you’ll contribute to our mission

Planning and scoping

You will be a key point of contact for Product teams and Finance stakeholders on integrating new products, features and regional expansions to ensure Wise has accurate view of currency exposures

You will review the existing implementations for any risks and gaps

You will proactively engage with relevant product teams to understand their needs, and navigate prioritisation problems ensure impact to Finance are minimised

You will develop an Implementation roadmap and lead quarterly planning of Finance Implementation work, as part of the wider team quarterly planning

Execution and implementation

You will figure out a plan and work with a team of product managers, engineers, data analysts and operations specialists to integrate all new Wise products, regions and entities into our finance system

You will be owning large and complex integrations and you will support the team with clear documentation including requirements, detailed project plans, resource allocation, testing, delivery etc.

You will support operations teams through new implementations, including training regional operations teams on safeguarding processes as part of regional expansions

Support

You will ensure documentation of product flows

You will get hands-on when things go wrong - supporting product and engineering teams during incidents to understand the impact, drive resolution and improve controls to prevent similar incidents recurring

This role will give you the opportunity to

Get amazing exposure - you will be omniscient. You will know almost everything about every product flow and geography that Wise is launching, while working with a group of amazing and dedicated implementation managers, product managers, engineers, analysts, and operations. You will learn everything you ever wanted to know about payments, banks, regulations and assets not just for one geography - but for the entire world.

Choose your path to impact – we believe people are most empowered when they can act autonomously. So rather than telling you what to do, you’ll work with your team to create a vision of your own. Of course, you can always gather feedback from smart, curious people across Wise but you’ll have the freedom to make your own calls

Work in a world-class international Finance & Treasury Team, learn a lot about fintech, finance and treasury, while also building a high-volume, real time finance system.

Work with a modern microservices system with key parts written in-house, which allows to move fast and build controls and experiences that are above industry standards and push the boundaries of what is possible

Be part of our mission to make money without borders the new normal

Qualifications

A bit about you

You’re hands on when it comes to product implementation and delivering features and building roadmaps. You’d do everything needed to make the team and the product successful. You get it done

You have experience of managing end-to-end product integration lifecycles from scoping to delivery and post production support for ambitious, impactful customer / non-customer facing products before in data-driven environments

Data-driven – You can pick up the signal from the noise. You are comfortable to dig deep into data, explore and make decisions based on insights

You create energy and clarity. You have great communication skills that help you bring people together behind a common goal, manage multiple points of view and create clarity and organisation into complex problems and diverse teams.

 Beneficial, but not mandatory experience

Experience working with business analytics tools ( Looker, Superset)

Passion for technical products and understanding of tech stacks 

Additional Information

Our Offer

Base salary: £70,000 - £90,000 gross / year base (based on experience & interview outcomes)

Restricted Stock Units (RSUs):

Numerous amount of other benefits: 

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 .

Keep up to date with life at Wise by following us on and .

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.