Regional hiringpublishedExternal employer
MMews
MewsHospitality Tech

Senior Data Analyst

Transaction Monitoring, Fraud

Location

London, City of London, United Kingdom

Work type

Hybrid

Employment

Full Time

Experience

5-8 years

Compensation

£45K - £59.5K per year

Posted

18h ago

Summary and responsibilities

Role overview

Summary

This Senior Data Analyst role focuses on transaction monitoring and fraud detection within the FinCrime team. The analyst will leverage data, SQL, and Python to enhance fraud detection, minimize false positives, and strategically prioritize high-risk cases, collaborating across fraud operations, analytics, and product teams.

Mews is looking for a Senior Transaction Monitoring Fraud Data Analyst to join our FinCrime team within Fintech.

This is a high-impact role for someone who can use data to improve fraud detection, reduce false positives, and help the team focus on the cases that matter most. You’ll work at the intersection of fraud operations, analytics, and product, using SQL, Python, and strong problem solving to identify patterns, improve rules, and support better decision making.

We’re looking for someone who is hands-on, curious, and comfortable working in a fast-moving environment where not everything is perfectly defined. This is not a reporting role. We need someone who can dig into the data, spot what is going wrong, and recommend practical actions that improve outcomes.

✅ Your mission, should you choose to accept it:

  • Analyse transaction monitoring and fraud rule performance to identify gaps, inefficiencies, and opportunities to improve detection

  • Investigate trends, anomalies, and behavioural patterns across transactions, properties, and customer activity

  • Help improve how we prioritise cases by risk, with the goal of reducing manual review volumes and increasing focus on high-risk activity

  • Partner closely with FinCrime, Product, Compliance, and Data teams to improve controls and bring in new data sources

  • Work with data engineers and other technical teams to support better pipelines, data quality checks, and more reliable monitoring inputs

  • Support the development of internal scoring approaches and future machine learning use cases as the function evolves

  • Translate complex analysis into clear recommendations that improve fraud prevention while minimising friction for legitimate customers

✅ Your mission, should you choose to accept it:

  • Own and run the ERM framework and risk appetite for Mews FS, including risk assessments, stress testing and Board reporting.

  • Provide independent risk oversight on new products, major changes and strategic initiatives, and act as a key contact for DNB and other regulators on risk matters.

  • Design and maintain a fit-for-purpose internal control framework and key controls across payments, safeguarding, liquidity, ICT, outsourcing and incident management.

  • Lead risk-based testing, monitoring and follow-up on incidents, control weaknesses and audit findings.

  • Provide pragmatic, business-oriented risk advice that keeps us compliant while enabling product and commercial teams to ship at pace.

  • Build a strong risk culture through training, guidance and clear, plain-language communication across the organisation.

🤝️ You’ll be a great fit if you bring a few of the below with you:
Must-have experience

  • Strong experience in fraud detection or transaction monitoring analytics

  • Proven ability to improve rules, controls, or detection logic using data

  • Advanced SQL skills

  • Strong Python skills

  • Experience working with large datasets to identify patterns, outliers, and risk signals

  • Ability to move from analysis to action, not just reporting findings

  • Confidence working cross-functionally with operational, technical, and compliance stakeholders

What’s in it for you?
Our success is powered by our incredible people, supported by benefits that help them thrive.
Global benefits
No matter where you’re based, you’ll enjoy:

  • Unlimited paid holiday (yes, really)

  • Participation in our company share program

  • Paid parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available after one year of service)

  • An annual Learning budget of €300 (and more for high performers) to support your development

  • Monthly

Updated 18h ago

Candidate fit

Skills and qualifications

Additional skills

Fraud Detection • 1+ yrs
Transaction Monitoring • 1+ yrs
SQL • 1+ yrs
Python • 1+ yrs
Data Analysis • 1+ yrs
Problem Solving • 1+ yrs
Cross-functional Collaboration • 1+ yrs
Risk Management • 1+ yrs

Experience

5-8 years

How this role is positioned

Role classification

Job domains

Data Science & Analytics

Industries

Finance & Banking

Employment

Full Time

Contract duration

Permanent

Hiring type

Direct

Global hiring

Location specific

Offer details

Compensation and benefits

Compensation

£45K - £59.5K per year

VisibilityShared on listing
CurrencyGBP
PeriodYearly

Benefits and perks

Paid Parental Leave

Location, schedule, and role shape

Work setup

Work conditions

Primary locationLondon, City of London, United Kingdom
Work typeHybrid
Global hiringNo

Bandwidth profile

peopleMedium6/10
physicalLow2/10
cognitiveHigh8/10
executionMedium7/10
creativityMedium6/10
uncertaintyMedium7/10
communicationMedium7/10

Context on the employer

Company snapshot

Company

Mews

Team size

Growing team

Location

London, City of London, United Kingdom

Mews is transforming the hospitality industry with a platform that helps hotels run smarter, move faster and create better guest experiences. They value ownership, curiosity, meaningful impact, and consistent high performance.

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Senior Data Analyst

London, City of London, United KingdomFull Time