Senior Data Scientist, FinCrime at ARQ
At a glance
- Company
- ARQ
- Location
- London, GB, United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this ARQ job
- 🏢 ARQ has 4 jobs here, 4 with visa sponsorship see all
- 📊 28 Data Scientist jobs in the United Kingdom in the last 60 days see them
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask ARQ if it is above the minimum.
Updated 2026-11-01, from our data and official sources.
About the role
Responsibilities:
- Design, build and deploy ML models for financial crime use cases: fraud detection, chargeback prediction, anomaly detection and transaction monitoring.
- Translate ambiguous business problems into measurable ML objectives with clear success metrics and decision frameworks.
- Develop and maintain production-ready data pipelines and model-serving infrastructure with engineering partners.
- Monitor model performance, detect drift and drive continuous improvement for accuracy and business impact.
- Collaborate cross-functionally with Product, Engineering and Operations to operationalise models at scale.
- Influence the organisation’s ML strategy, tooling and MLOps best practices.
Requirements:
- 5+ years in data science, ML or related disciplines with proven production ML experience.
- Strong Python skills and experience working with large-scale datasets and model deployment.
- Deep knowledge of supervised learning for classification, anomaly detection and risk modelling.
- Experience building production pipelines, monitoring models and applying MLOps practices.
- Comfortable working cross-functionally and communicating technical trade-offs to non-technical stakeholders.
- Nice-to-have: direct experience in financial crime, AML, payments or real-time decisioning platforms.
Responsibilities
Design, build, and deploy machine learning models to detect fraud and assess risk in financial services. Transform ambiguous business problems into measurable ML solutions and partner with Product, Engineering, and Operations to operationalize models at scale by building production-ready data pipelines and model-serving capabilities. Monitor model performance and continuously improve accuracy and business impact.
Requirements
Minimum 5+ years of experience in Data Science, ML, Software Engineering, or related fields. Strong Python skills and experience with large-scale datasets, plus a track record of developing and deploying ML models in production. Ability to translate business challenges into data-driven solutions and communicate effectively with cross-functional teams.
Key skills
- Python — in 1142 other listings on The Stack
- Machine Learning — in 276 other listings on The Stack
- Data Science — in 85 other listings on The Stack
- Anomaly Detection — in 11 other listings on The Stack
- Fraud Prevention — in 9 other listings on The Stack
- Risk Modeling — in 4 other listings on The Stack
- Model Deployment — in 10 other listings on The Stack
- Production ML — not in any other listing on The Stack
- Data Pipelines
- MLOps
- Model Monitoring
- Big Data
On The Stack (as of 2026-11-01)
Frequently asked questions about ARQ
Is this Senior Data Scientist, FinCrime role still open?
It was posted on 2026-10-31 and is listed as active on The Stack. Confirm on ARQ's application page before applying.
Does ARQ offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on ARQ's site.
Where is this role located?
The listing gives the location as London, GB, United Kingdom. It is marked on-site.
What skills does this role ask for?
The listing names: Python, Machine Learning, Data Science, Anomaly Detection, Fraud Prevention, Risk Modeling, Model Deployment, Production ML, Data Pipelines, MLOps, Model Monitoring, Big Data.