Financial crime data scientist Work, Jobs in London, Eng (with Salaries)

Staff Applied ML Engineer - Financial Crime
Wise Australia Investments —London
- £145,000 - £182,000 a year
- Financial services
- Python
Senior Data Scientist, Fraud Prevention
GoCardless —London
- £99,200 - £148,800 a year
- Doctoral degree
- SQL
- Machine learning
Compliance Governance Data Scientist
Rippling —London
- Full-time
- SQL
R&D Manager - Risk Pricing
Homeprotect —New Malden
- Hybrid work
- SQL
- Python
- Annual leave
- Employee assistance programme
Senior AI Solutions Consultant – Financial Crime
SymphonyAI —London
- £110,000 - £135,000 a year
- Full-time
- SQL
- Machine learning
- Travel
Internal Audit, Global Markets Audit, Analyst, London
Goldman Sachs —London
- Full-time
- Analysis skills
- Communication skills
- Employee assistance programme
Senior Data Scientist (Fraud)
Moniepoint —London
- SQL
- Machine learning
- Financial services
Technical Project Manager – Financial Services (AI-first)
SymphonyAI —London
- £64,000 a year
- Full-time
- Spanish
- PMP
- English
Senior ML Platform Engineer II - Financial Crime
Wise Australia Investments —London
- £111,000 - £145,000 a year
- Java
- SQL
- APIs
Lead Product Analyst
Wise Australia Investments —London
- £75,000 - £115,000 a year
- SQL
- Maths
- Machine learning
6d
Technical Modelling Analyst
Homeprotect —New Malden
- Hybrid work
- SQL
- Analysis skills
- Machine learning
- Annual leave
- Employee assistance programme
2d
Associate Director, FCC Models & Product Risk
Airwallex —London
- Full-time
- Doctoral degree
- Master's degree
- SQL
Senior Technical Modelling Analyst
Homeprotect —New Malden
- Hybrid work
- SQL
- Analysis skills
- Machine learning
- Annual leave
- Employee assistance programme
Senior Software Engineer I - Onboarding Experience
Wise Australia Investments —London
- £87,500 - £111,000 a year
- Java
- Machine learning
- Communication skills
Fraud Director, Fintech
Viber —London
- Master's degree
- SQL
- AWS
Fraud Consultant - Solution/Technical Specialist
PA Consulting —London
- Full-time
- Hybrid work
- Communication skills
- Banking
- Python
- Annual leave
Quick apply
Senior Software Engineer I - Onboarding Experience
Wise —London
- £87,500 - £111,000 a year
- Full-time
- Hybrid work
- Java
- Machine learning
- Communication skills
Quick apply
Customer Success Manager
SymphonyAI —London
- £100,000 a year
- Full-time
- Up to 50% travel
- Merchandising
- Engineering
Principal Data Engineer
ComplyAdvantage —London
- Hybrid work
- Java
- Master's degree
- AWS
- Annual leave
- Life insurance
Quick apply
Full Stack Engineer - Intelligence
Elliptic —London
- Full-time
- Hybrid work
- AWS
- JavaScript
- AI
- Annual leave
Quick apply

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Staff Applied ML Engineer - Financial Crime

Wise Australia Investments
London

Apply Now

Job details

£145,000 - £182,000 a year

Qualifications

Law
PyTorch
Deep learning
Financial services
Python

Full job 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

About the role:

Wise moves billions across borders every year. Behind every transaction is a decision: is this safe? Our ML systems make that call - at scale, in real time, across every market we operate in.

Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ML Engineer to lead this evolution: defining the architecture strategy, shipping production neural models, and building the blueprint that scales across FinCrime domains.

This is a greenfield opportunity - you'll be setting the direction for how Wise applies modern ML to financial crime risk, with strong investment and engagement from senior leadership.

How we work:

Risk ML sits within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts.

We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research and architecture decisions through to production deployment and impact measurement. We value engineers who shape direction, not just execute tickets.

What will you be working on?

Designing and shipping ML and deep learning models for financial crime detection - sequence-based, graph-based, attention-based - serving real-time decisions at Wise's scale
Defining the architecture strategy for how Wise applies modern ML to risk - which model families, which serving patterns, which training paradigms
Building the reusable end-to-end pipeline pattern - from experimentation through training to production deployment - that future models follow
Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains
Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible
Mentoring engineers and data scientists on modern ML fundamentals, production best practices, and architectural decision-making

What do you need?

Production experience shipping deep learning models at scale - systems serving real traffic under latency constraints
Ability to make architecture-level decisions independently - model selection, training infrastructure, serving strategy - and explain the reasoning and tradeoffs
Experience designing ML systems with hard latency and throughput requirements, including optimisation decisions (quantization, pre-computed embeddings, batching strategies)
Strong fundamentals in deep learning: gradient dynamics, attention mechanisms, graph message-passing, sequence modelling
Track record of influencing technical strategy across teams - you don't just build, you shape direction
Python, PyTorch (or equivalent), distributed training, ML pipeline orchestration

Nice to Have:

Experience in FinCrime, fraud detection, AML, or regulated financial services
Experience with graph-based methods (GNNs, entity resolution, link analysis) in production
Foundation model fine-tuning or LLM evaluation experience
Experience establishing modern ML practices in organisations scaling their ML capabilities

Interested? Find out more:

How we work – a practical guide
DEI @ Wise
Wise Tech Stack (2025 update)
See what it's like to work at Wise London!
Our Engineering career map
Wise Engineering – https://medium.com/wise-engineering

What do we offer:

Starting salary: £145,000 - £182,000 + RSUs
Wise Benefits

#LI-AB3 #LI-Hybrid

Additional Information

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

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Apply Now

Refine Your Search

financial crime data scientist jobs in london, eng

Staff Applied ML Engineer - Financial Crime

Senior Data Scientist, Fraud Prevention

Compliance Governance Data Scientist

R&D Manager - Risk Pricing

Senior AI Solutions Consultant – Financial Crime

Internal Audit, Global Markets Audit, Analyst, London

Senior Data Scientist (Fraud)

Technical Project Manager – Financial Services (AI-first)

Senior ML Platform Engineer II - Financial Crime

Lead Product Analyst

Technical Modelling Analyst

Associate Director, FCC Models & Product Risk

Senior Technical Modelling Analyst

Senior Software Engineer I - Onboarding Experience

Fraud Director, Fintech

Fraud Consultant - Solution/Technical Specialist

Senior Software Engineer I - Onboarding Experience

Customer Success Manager

Principal Data Engineer

Full Stack Engineer - Intelligence

I want to receive the latest job alerts for financial crime data scientist in london, eng

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