
Possible
Sponsorship likelihood
This job is eligible only on a shortage list
Pro only
Salary
Pro sees the advertised pay
£41,700
Going rate
Skilled Worker going rate
This role likely qualifies for a Skilled Worker visa
SOC 3544 (94% match) is an eligible occupation, with a going rate of £41,700, and Wise Payments Limited is a licensed sponsor. That is our reading of the rules. Whether they issue a Certificate of Sponsorship is still their call.
New graduate or PhD holder? Pick one of the lower rates.
| Occupation code | New entrant 70% of going rate | STEM PhD 80% of going rate | Relevant PhD 90% of going rate | Standard rate 100% of going rate |
|---|---|---|---|---|
3544 Data analysts Most likely code | £33,400 Clears | £41,700 Clears | £41,700 Clears | £41,700 Clears |
We use the lowest threshold across the plausible codes. Likelihood is Possible at most when the pay clears only a lower rate, or only under a less likely code. A mark is for the top of the advertised pay. How the Home Office picks the code
Lead FinCrime Analyst - AML Prevention
We’re looking for a FinCrime Analyst who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime.
At Wise, we strike a critical balance between user experience and the stringent demands of risk prevention. Our mission within the AML team is to stay one step ahead of money laundering activities while ensuring that our customers enjoy a seamless experience. In this vital role, you will innovate and implement controls that enhance security without compromising user convenience.
Most importantly, you’ll collaborate closely with your product managers, designers, data scientists and engineers to bring your insights into real change for our customers and help drive our mission!
This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here.
Your mission:
At Wise our mission is Money Without Borders - instant, convenient, transparent and eventually free. Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money.
Here’s how you’ll be contributing to the Financial Crime team:
You’ll expose the vast data on our processes to the product teams across Wise in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistance
Proactively contribute to, own, create, track key metrics and results for your product and operational teams, keeping them accountable throughout the quarter
Work with data scientists in understanding and developing the means for detecting and mitigating financial crime
Building the framework for managing risk and customer experience at scale
Drive the discovery phase by scoping new opportunities and suggesting features, rules and models to combat emerging risks
The role requires collaboration with Product, Data Scientists, Engineering and Operations Team
This role will give you the opportunity to:
Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money
Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!
Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on.
Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.
A bit about you:
You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area
You have experience with SQL and Python
You have strong communication skills and an ability to translate business problems into analytical solutions
You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand models
Hustler-mentality. You can take work beyond the analysis and get things done
You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data
You have 4+ YOE analysing data in a professional setting
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.
This description is the source posting as it read when we added it. We are not affiliated with Wise Payments Limited, so check their own site for the current details.
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Browse more sponsored jobs at Wise Payments LimitedNot necessarily. Wise Payments Limited holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
The offer must clear both the general threshold and the SOC 3544 going rate of £41,700. New-entrant and shortage discounts can lower it.