Senior Data Scientist, FinCrime
Arq has an opening for a Senior Data Scientist, FinCrime in London, United Kingdom. The listing describes it as a full-time, senior position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
Arq has an opening for a Senior Data Scientist, FinCrime in London, United Kingdom. The listing describes it as a full-time, senior position.
From the advert, the main requirements are 5+ years of experience.
The advert mentions Python and machine learning among the skills and tools for this role.
The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.
Benefits mentioned in the advert: equity or stock options and bonus.
Visa sponsorship is not mentioned. Applicants from outside United Kingdom should check the official work permit route before applying.
Dev Global Jobs found this job on Arbeitnow on Nov 6, 2026.
- Employer
- Arq
- Location
- London, United Kingdom
- Job type
- Full-time
- Level (from the title)
- senior
- Pay
- Not stated by the employer
- Experience asked
- 5+ years
- Found
- Nov 6, 2026 on Arbeitnow
- Employer text
- 412 words, about 2 min to read
- Apply only on the official page (arbeitnow.co.uk). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 5+ years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (Python and machine learning) in your CV where you really have them; applicant tracking systems look for these words.
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
- Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
- Global Talent visa: Endorsement as a leader or potential leader in a listed field
Official routes: UK Visas and Immigration (GOV.UK)
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01What We're Looking For
We're looking for a Senior Data Scientist to help build the intelligence layer behind ARQ's financial products. You'll work on some of our most important risk and financial crime challenges, developing machine learning models that help us detect fraud, prevent losses, and make better decisions at scale.
This is a highly impactful role where you'll take problems from idea to production, partnering with Product, Engineering, and Operations teams to turn large-scale datasets into models that directly influence customer and business outcomes.
You'll join a fast-growing team helping build the future of financial services for more than 2 million customers across the Americas.
02What You'll Be Doing
Design, build, and deploy machine learning models that solve real-world financial crime and risk challenges.
Work on problems such as fraud detection, chargeback prediction, anomaly detection, identity verification, and transaction monitoring.
Transform ambiguous business problems into measurable ML solutions.
Partner closely with Product and Operations teams to define requirements, success metrics, and decision frameworks.
Analyse large datasets to identify patterns, opportunities, and risks.
Build and maintain production-ready data pipelines and model-serving solutions.
Monitor model performance and continuously improve accuracy, reliability, and business impact.
Collaborate with Data Engineering and Backend Engineering teams to operationalise machine learning at scale.
Help shape the future of AI and machine learning capabilities across ARQ.
03What You'll Need
5+ years of experience across Data Science, Machine Learning, Software Engineering, or related disciplines.
Strong Python skills and experience working with large-scale datasets.
Proven experience developing and deploying machine learning models in production environments.
Strong understanding of supervised learning techniques, particularly classification problems.
Experience with anomaly detection, fraud prevention, risk modeling, or related domains.
Ability to translate business challenges into data-driven solutions.
Experience working cross-functionally with Product, Engineering, and business stakeholders.
Strong communication skills and a pragmatic approach to problem-solving.
Comfortable operating in fast-moving environments with high ownership.
04Nice To Have
Experience in financial crime, fraud prevention, AML, risk, or payments.
Experience in fintech, banking, or financial services.
Backend engineering experience and familiarity with production systems.
Experience building real-time decisioning or risk platforms.
Familiarity with modern MLOps practices and model monitoring.
05Benefits
Competitive salary and benefits
Stock options, so you own part of what you build
Discretionary performance bonus
The latest tools and technology
A world-class team that will challenge and grow your skills
The opportunity to help build the best fintech app in Latin America
Office Policy: 3-4 days a week in-office
Find Jobs in United Kingdom on Arbeitnow
Ask CSI about this job
Answers link to jobs and tools on Dev Global Jobs.
Review Dev Global Jobs
Used this site to find a job? Tell other job seekers what worked and what did not.