
Focused on global money transfers.
Lead Analyst - FinCrime at Wise
About the role
About the role
You’ll help us build the next generation of systems that help us run multi region, scalable processes to identify customers who they say they are and ensure any processes minimise the chance of financial crime manifesting throughout a customers lifecycle. You’ll be embedded in one of our product teams, partner with Product, Engineering, Ops and Compliance to improve control effectiveness, customer experience, and operational efficiency.
What you’ll do
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Work on the fincrime analytics ‘3 body problems’ of risk, friction and cost
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Nearly every risk based decision needs to balance the inherent risks of onboarding criminals against user friction and operational costs
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Size opportunities, model impact on volume/cost/risk, and evaluate control changes and operational experiments.Quantify why documents are rejected and the effectiveness of recovery prompts
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Help design scalable platforms
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This is a team about building sustainable, long term foundations
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This isn’t about short term growth hacking - you’ll help build a long lasting platform
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Embody a data-as-a-product mentality
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Work with engineers to build well instrumented systems that allow us to understand end to end performance
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Define and maintain source‑of‑truth datasets and dashboards for onboarding funnels, manual reviews, document processing and operational performance.
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Build self‑serve data assets and documentation so stakeholders can answer common questions independently
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Stakeholder partnership
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Translate questions from CDD Ops, KYC Controls, Product and Engineering into clear analytical plans; communicate insights, trade‑offs and recommendations.
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Shape the ‘what next’ for product outcomes
This is a Lead Analyst role. For more information on our Analytics Career Map and levelling structure, click here
About you
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Able to design scalable data models from the backend to our data infrastructure
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Strong SQL with experience building robust pipelines
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Proficient with BI tools and designing decision‑ready dashboards.
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Clear communicator who can frame trade‑offs between risk, conversion and operational cost.
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Python for deeper analysis and automation.
Nice to have
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Familiarity with risk management frameworks
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Exposure to financial crime concepts (fraud, money laundering etc)
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Experience working in a platform orientated team
Our Offer
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Base salary: £75-115k gross / year base (based on experience & interview outcomes)
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Restricted Stock Units (RSUs)
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Numerous amount of best in class benefits
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Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible
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Paid annual holiday, sick days, parental leave and other leave opportunities
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6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
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.
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](https: //wise.jobs/our-mission) and
[what we offer](https: //wise.jobs/what-we-offer).
Required skills
Data analytics
Experiment analysis
Dashboarding
Data modeling
Stakeholder management
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About Wise

Wise
PublicWISE inspires girls and women to study and build careers in science, technology, engineering and manufacturing.
1-50
Employees
Bradford
Headquarters
$8.0B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
3.2
Compensation
4.0
Culture
4.1
Career
3.5
Management
3.7
72%
Recommend to a friend
Pros
Flexible work hours and remote options
Supportive and approachable management
Collaborative environment and teamwork
Cons
High workload and unpredictable demands
Communication issues and lack of direction
Stressful and overwhelming work environment
Salary Ranges
117 data points
Mid/L4
Senior/L5
Mid/L4 · Product Application Analyst
1 reports
$87,400
total per year
Base
$76,000
Stock
-
Bonus
-
$87,400
$87,400
Interview experience
4 interviews
Difficulty
2.3
/ 5
Duration
14-28 weeks
Offer rate
50%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview process
1
Application Review
2
Recruiter Screen
3
Online Interview Round
4
Technical/Role-specific Interview
5
Final Interview
6
Offer Decision
Common questions
Technical Knowledge
Past Experience
Behavioral/STAR
Role-specific Skills
Problem Solving
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