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MERJE

Fraud Data Senior Consultant

London
£45k – £52k/yr
Posted about 23 hours ago
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Senior Data Analytics Consultant – Fraud & Investigations

London

About the Opportunity

We are partnering with a leading global organisation to recruit a fraud data analytics specialist. The team works at the forefront of data-driven fraud risk management, leveraging technologies such as machine learning, network analysis, graph analytics, and large language models to uncover hidden risks, identify suspicious behaviour, and support high-profile investigations.

This is an excellent opportunity to work on impactful projects with major financial institutions and multinational organisations, helping them detect, prevent, and investigate fraud and misconduct.

Key Responsibilities

  • Partner with clients, investigators, compliance teams, auditors, legal professionals, and regulators on complex and sensitive engagements.
  • Gather requirements, define project scope, and translate business challenges into analytical solutions.
  • Deliver end-to-end analytics projects, including data acquisition, engineering, transformation, analysis, visualisation, deployment, and stakeholder reporting.
  • Analyse large volumes of structured and unstructured data from diverse sources to identify patterns, anomalies, and potential risks.
  • Develop analytical models and algorithms to support fraud detection, financial crime monitoring, misconduct investigations, and regulatory compliance initiatives.
  • Apply advanced analytical techniques to detect suspicious transactions, behavioural patterns, and emerging risks.
  • Create compelling visualisations and reporting outputs that clearly communicate findings to technical and non-technical stakeholders.
  • Mentor and support junior team members, ensuring high-quality delivery across engagements.
  • Collaborate with technology, innovation, and business development teams to drive continuous improvement and growth.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What We're Looking For

  • Degree in a STEM discipline such as Computer Science, Engineering, Mathematics, Statistics, or equivalent practical experience.
  • Strong hands-on experience with Python, SQL, and modern data platforms such as Databricks, Azure Data Factory, or similar technologies.
  • Experience designing and delivering data analytics solutions across the full project lifecycle.
  • Excellent problem-solving, critical thinking, and analytical skills.
  • Ability to communicate complex technical concepts clearly to a wide range of stakeholders.
  • Experience working independently while managing multiple priorities and mentoring less experienced colleagues.

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Desirable Experience

  • Exposure to financial crime, fraud, regulatory compliance, investigations, market surveillance, or risk management environments.
  • Consulting or client-facing experience.
  • Experience with:
    • Relational databases (SQL Server, PostgreSQL, Oracle, MySQL)
    • Data visualisation tools (Power BI, Tableau, Spotfire)
    • Cloud platforms, particularly Microsoft Azure
    • Big data technologies (Spark, Elasticsearch, Hadoop)
    • Statistical modelling and advanced analytics
    • Machine learning and pattern recognition techniques
    • Web technologies such as HTML and JavaScript
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Skills

Python
SQL
Databricks
Azure Data Factory
Data Engineering
Data Visualization
Machine Learning
Graph Analytics
Network Analysis
Fraud Detection
Financial Crime Monitoring
Stakeholder Management
Problem Solving
Critical Thinking
Mentoring
Analytical Modeling

Location

London, England, United Kingdom

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