- Company: Get A Job.ai
- Location: Remote, London
- Salary: Pay not listed
- Work type: Remote
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a fast-growing fintech organization seeking a Data Scientist specializing in fraud detection to join their team. This is a remote role based in London, offering the chance to work on high-impact machine learning systems that protect millions of users across a rapidly scaling financial platform.
In this position, you'll sit at the intersection of data science, product, and engineering—building the models, experiments, and detection systems that safeguard customers and merchants from emerging fraud threats. Your work will directly influence how the organization detects and responds to financial crime across their ecosystem.
Responsibilities
- Prototype, evaluate, and deploy machine learning models for fraud detection; maintain ongoing monitoring and retraining cycles
- Design and execute experiments to measure the impact of fraud interventions, balancing customer experience with loss reduction
- Analyze fraud typologies across product lines to inform prioritization and investment decisions
- Build and maintain anomaly detection systems to surface novel fraud vectors before they scale
- Collaborate closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into production-grade mitigations
What We're Looking For
Required Experience:
- Degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar)
- 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime
- Hands-on experience building and deploying machine learning models in production environments
- Strong foundation in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering
- Experience working in fast-paced, cross-functional teams with high ownership expectations
Technical Skills:
- Proficiency in Python and SQL; comfort working across the full model development lifecycle
- Strong investigative instinct and ability to uncover patterns in complex datasets
- Excellent communication skills to translate technical findings into actionable insights for non-technical stakeholders
Preferred:
- Prior fraud, risk, or financial services experience is a strong plus
How We Work With You
When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your background and career goals. If there's a strong match, we'll submit your candidacy to our client for consideration. Throughout the process, we'll keep you informed and provide guidance at each stage.
Please apply exclusively through Get A Job.ai—do not contact the client organization directly, as this may disqualify your application.
Pay
Compensation details will be discussed during the screening process and will be competitive with the market for this level of expertise in London.
Get A Job.ai is an equal opportunity recruiter. We celebrate diversity and are committed to creating an inclusive process for all candidates.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Explore Get A Job.ai online
Working in Remote, US
Oregon is a state in the Pacific Northwest region of the United States. It is a part of the Western United States, with the Columbia River delineating much of Oregon's northern boundary with Washington, while the Snake River delineates much of its eastern boundary with Idaho. The 42° north parallel delineates the southern boundary with California and Nevada. The western boundary is formed by the P
Cost of living in Oregon: 3.4% above the national average — via BEA
Minimum wage in Oregon: $16.80/hr — via FRED
Real GDP per capita in Oregon: $62,241 — via FRED
Home prices in Oregon (year over year): +1.7% — via FRED
Median household income in Coos County: $60,313 — via US Census ACS / Data USA
Average commute time in Coos County: 19 min — via US Census ACS / Data USA
Most common commute in Coos County: Drove Alone (78%) — via US Census ACS / Data USA
Households with home internet in Coos County: 91% — via US Census ACS / Data USA
Source: Wikipedia (state)
About this role & career path
Traits that fit this role
- Innovation
- Achievement Orientation
- Intellectual Curiosity
- Integrity
- Attention to Detail
Source: O*NET Work Styles (Distinctiveness Rank).
Typical preparation needed: Job Zone 4: Considerable Preparation Needed. Most of these occupations require a four-year bachelor's degree, but some do not. — via O*NET
Industry news
- I was a software engineer who couldn't get excited about AI. Now I'm studying to be a nurse. - Business Insider
- ‘AI code apocalypse’ hasn’t hit engineers as hard as the industry may think - IT Brew
- AI tools have sparked a coding revolution. Software engineers are figuring out what comes next. - Business Insider
Source: O*NET (public-domain bulk data)
Salary & compensation
Workers in Computer & Mathematical occupations earn a national median of $98,769 — via US Census ACS / Data USA
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Data Scientist (Fraud)
- Employer Get A Job.ai
- Location Remote, London · Remote-friendly
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 13, 2026
- Apply by October 13, 2026
- Overview Full job description on this page (424 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Scientist
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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Occupation family: Data Scientist
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