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Senior Data Scientist, FinCrime

ARQLondonEngineering
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
12 Aug 2026
Status
Open · checked 7d ago

About this role

Role Overview

ARQ is hiring a Senior Data Scientist in London to develop the intelligence layer for financial products and tackle key risk challenges. This position suits an experienced professional with a background in machine learning who wants to shape financial services technology for millions of users.

Key Responsibilities

Design, build, and deploy machine learning models to solve financial crime and risk challenges.
Address specific issues like fraud detection, chargeback prediction, anomaly detection, identity verification, and transaction monitoring.
Translate unclear business problems into measurable machine learning solutions.
Partner with Product and Operations teams to establish requirements, success metrics, and decision frameworks.
Examine large datasets to uncover patterns, risks, and opportunities.
Create and maintain production-ready data pipelines and model-serving solutions.
Track model performance to enhance accuracy, reliability, and business impact.
Collaborate with Data Engineering and Backend Engineering to operationalize machine learning at scale.
Help direct the evolution of AI and machine learning capabilities throughout ARQ.

Requirements

At least 5 years of professional experience spanning Data Science, Machine Learning, Software Engineering, or related technical disciplines.
Strong proficiency in Python alongside practical experience handling large-scale datasets.
Demonstrated background in developing and deploying machine learning models directly into production environments.
Solid understanding of supervised learning techniques, with a specific focus on classification problems.
Prior involvement in anomaly detection, risk modeling, fraud prevention, or related domains.
Capability to translate complex business challenges into data-driven solutions.
Cross-functional experience working alongside Product, Engineering, and business stakeholders.
Strong communication skills paired with a pragmatic approach to problem-solving.
Comfort operating within fast-moving environments requiring high personal ownership.

Nice to Have

Background in financial crime, Anti-Money Laundering (AML), fraud prevention, risk, or payments.
Previous experience working within fintech, banking, or general financial services.
Backend engineering experience with direct familiarity running production systems.
Experience building real-time decisioning or risk platforms.
Familiarity with modern MLOps practices and continuous model monitoring.

Skills and Tools

Python
MLOps
Machine Learning Models
Data Pipelines
Production Environments

Salary and Benefits

Competitive salary and comprehensive benefits package
Stock options allowing employees to own a part of what they build
Discretionary performance bonus structure
Access to the latest tools and technology
Collaboration with a world-class team focused on professional growth
Opportunity to help build a leading fintech application

About the Company

ARQ develops financial services and products utilized by more than 2 million customers across the Americas. The organization promotes a flexible office policy requiring team members to be in the office 3 to 4 days a week.

How to Apply

Interested candidates should visit the official ARQ careers page to submit their application for this role.

Skills and tech stack

PythonMLOps

Questions candidates ask

What is the location of the Senior Data Scientist, FinCrime role?

The position is based in London, with an office policy requiring team members to be in the office 3 to 4 days a week.

How many years of experience are required for this job?

Candidates must have 5+ years of experience across Data Science, Machine Learning, Software Engineering, or related disciplines.

What programming language is required for the position?

Strong Python skills are required for this role.

What specific problem areas will the data scientist work on?

The role involves working on fraud detection, chargeback prediction, anomaly detection, identity verification, and transaction monitoring.

What benefits are provided by ARQ?

Benefits include a competitive salary, stock options, a discretionary performance bonus, access to latest tools and technology, and the chance to work with a world-class team.

Ready to apply?

The application is on the official ARQ careers page.

Apply on company site