Senior Product Analyst - Financial Crime
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 (91% 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.
What each route needs for this job
| 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 |
2431 Management consultants and business analysts Also possible | £35,100 Clears | £40,200 Clears | £45,200 Clears | £50,200 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
About the role
We’re looking for a Senior Product Analyst who is passionate about our mission of Money Without Borders to join our Global Fraud Squad. In this role, you’ll help Wise scale safely and efficiently by uncovering gaps in our fraud controls and strengthening our intelligence through analytics. You’ll work closely with cross-functional teams to turn insights into action, improving how we detect, prevent, and respond to fraud.
How you’ll contribute
Proactive detection & insights sharing
Proactively hunt for anomalies, blind spots and gaps in controls using transaction, event and case data.
Build Rules and features for our detection engine to catch fraudsters.
Deliver frequent findings and recommended actions to the squad that lead to operational fixes.
Drive root-cause and cohort analyses to diagnose why controls succeed or fail and propose prioritized remediation.
Understand customer experience due to our controls and drive continuous improvements.
Drive KPI Performance
Partner with Product Managers, Data Scientists, Operations and other Analysts to define and own fraud KPIs across Wise products and markets
Identify, prioritise and drive initiatives with our product managers
Link business outcomes to control-level metrics, define and own performance for your team
Analytical leadership in new market launches
Be the primary analytical contact for fraud workstreams on new market launches
Run pre-launch risk scenario modelling to estimate exposure and operational load.
Provide clear go/no-go recommendations that balance risk, cost and customer impact.
This role will give you the opportunity to:
Choose your path to impact – pick high-leverage problems, create the vision and own execution.
Grow as a Product & Fraud Analyst – develop deep fraud domain expertise and combine it with your analytical skills.
Work cross-functionally – partner with PMs, engineers, analysts, investigators, compliance and operations across markets.
Be highly visible – your analysis will regularly inform Product and Risk Committees and shape strategic decisions.
Deliver measurable change – your work will protect millions of customers while enabling Wise’s growth.
Ideally you'll have
Minimum 3 years experience in product analytics in a complex, data-driven environment.
Hustler-mentality. You can take work beyond the analysis and get things done.
Strong communicator – you translate complex analyses into clear recommendations and influence senior stakeholders.
Strong analytical mind and product intuition focused on payments, transaction flows and online behaviour.
Proven ability to dig into data, surface anomalies, communicate findings frequently, and drive actions across teams.
Technical skills: advanced SQL, Python (pandas/scikit or similar), and experience building dashboards in BI tools (Looker/Tableau/PowerBI).
Good to have
FinTech/payments and Fraud experience.
Experience with feature engineering and model monitoring.
Familiarity with Airflow/DBT/Git/Snowflake and production data platforms.
If you care about protecting customers and enabling growth through rigorous, product-focused fraud analytics and you like owning high-impact, high-visibility work, we’d love to hear from you.
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.
Where this offer sits in the market
Data analysts (SOC 3544) · UK · ONS ASHE 2025 · basic pay · ~80k in sample- Middle half £32,292–48,568
- Median £38,948
- Going rate £41,700
- Threshold £41,700
- New entrant £33,400–37,530
Similar sponsored roles
See all UK visa jobsNo close matches live right now.
Browse more sponsored jobs at Wise Payments LimitedAbout sponsorship for this role
Does this job guarantee visa sponsorship?
Not 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.
What salary is needed for this role to be eligible?
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.