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hackajob

Lead Analyst - FinCrime

London
£75k – £115k/yr
Posted about 2 months ago
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Lead Analyst - FinCrime

hackajob is collaborating with Wise to connect them with exceptional professionals for this role.

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.

Job Description

More about our mission and what we offer.

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

Work on the fincrime analytics ‘3 body problems’ of risk, friction and cost Nearly every risk based decision needs to balance the inherent risks of onboarding criminals against user friction and operational costs 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 Help design scalable platforms This is a team about building sustainable, long term foundations This isn’t about short term growth hacking - you’ll help build a long lasting platform Embody a data-as-a-product mentality Work with engineers to build well instrumented systems that allow us to understand end to end performance Define and maintain source‑of‑truth datasets and dashboards for onboarding funnels, manual reviews, document processing and operational performance. Build self‑serve data assets and documentation so stakeholders can answer common questions independently Stakeholder partnership Translate questions from CDD Ops, KYC Controls, Product and Engineering into clear analytical plans; communicate insights, trade‑offs and recommendations. 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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Qualifications

About you

Able to design scalable data models from the backend to our data infrastructure Strong SQL with experience building robust pipelines Proficient with BI tools and designing decision‑ready dashboards. Clear communicator who can frame trade‑offs between risk, conversion and operational cost. Python for deeper analysis and automation.

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Nice to have

Familiarity with risk management frameworks Exposure to financial crime concepts (fraud, money laundering etc) Experience working in a platform orientated team

Additional Information

Our Offer

Base salary: £75-115k gross / year base (based on experience & interview outcomes) Restricted Stock Units (RSUs) Numerous amount of best in class benefits 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 Paid annual holiday, sick days, parental leave and other leave opportunities 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.

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

SQL
Data Models
Data Infrastructure
BI Tools
Dashboards
Python
Risk Management
Financial Crime
Data Analysis
Automation

Location

London, England, United Kingdom

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