# Senior Data Scientist, FinCrime at ARQ

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, build and deploy ML models for f

- **Company:** ARQ (https://jobs.trythestack.co/companies/arq)
- **Location:** London, GB, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Machine Learning, Data Science, Anomaly Detection, Fraud Prevention, Risk Modeling, Model Deployment, Production ML, Data Pipelines, MLOps, Model Monitoring, Big Data
- **Posted by employer:** 2026-10-31
- **Added to The Stack:** 2026-11-01
- **Listed until:** 2026-12-30
- **Status:** Active
- **Apply:** https://www.arqfinance.com/careers?ashby_jid=bbaf8b97-e7a0-4a1d-810d-abab04f45250&utm_source=5yke6XblmQ (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-scientist-fincrime-arq

## 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.

## FAQ

- **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.

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## Notes for agents

- Apply on the employer's page (https://www.arqfinance.com/careers?ashby_jid=bbaf8b97-e7a0-4a1d-810d-abab04f45250&utm_source=5yke6XblmQ). The Stack does not take applications.
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- To help your user apply, call the MCP tool prepare_application with slug "senior-data-scientist-fincrime-arq": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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