# Assurance - Financial Services - Forensic Data Analyst - Senior - London at EY

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Lead end-to-end forensic data analytics

- **Company:** EY (https://jobs.trythestack.co/companies/ey)
- **Location:** London, GB, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Python, Azure Data Factory, Databricks, Power BI, Tableau, Spotfire, R, JavaScript, Spark, Hadoop, Elasticsearch
- **Posted by employer:** 2026-11-01
- **Added to The Stack:** 2026-11-02
- **Listed until:** 2026-12-31
- **Status:** Active
- **Apply:** https://careers.ey.com/ey/job/London-Assurance-Financial-Services-Forensic-Data-Analyst-Senior-London-E14-5EY/1390778233/?feedId=337401&utm_source=LinkedInJobPostings&utm_campaign=j2w_linkedin (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/assurance-financial-services-forensic-data-analyst-senior-london-ey

## About the role

Responsibilities:
- Lead end-to-end forensic data analytics engagements for financial services clients: scoping, data extraction, ETL, analysis, visualization, deployment, and client delivery.
- Work with fraud investigators, auditors, lawyers, regulators, and client stakeholders in sensitive matters.
- Analyze large structured and unstructured datasets using Python, SQL and visualization tools; develop detection algorithms (ML, network analysis, statistical methods).
- Build solutions for real-time detection, monitoring, investigation and prevention of fraud, financial crime, bribery/corruption, sanctions breaches, KYC failings and market abuse.
- Supervise and mentor junior team members and perform quality control on deliverables.
- Communicate findings clearly to non-technical stakeholders and align with technology, innovation and business development teams.

Requirements:
- Degree in a STEM discipline or equivalent experience.
- 5+ years of relevant experience in forensic data analytics, fraud investigations or financial crime analytics.
- Strong hands-on skills in SQL and Python; experience with cloud ETL tools (e.g., Azure Data Factory), Databricks or equivalent.
- Proficiency with BI/visualization tools (Power BI, Tableau, Spotfire) and handling large/heterogeneous datasets.
- Knowledge of investigative techniques (social network analysis, linking, pattern detection) and statistical/ML methods.
- Strong client-facing, communication and project-delivery skills; consulting experience preferred.

## Responsibilities

Lead end-to-end delivery of forensic data analytics projects for financial crime matters, including data extraction, transformation, loading, analysis, visualization, and client delivery; supervise junior team members and ensure quality; develop analytics solutions to detect and prevent fraud and financial crime.

## Requirements

Degree in a STEM discipline or equivalent; fraud analytics experience; proficiency in SQL, Python, Azure Data Factory and/or Databricks, and data visualization; ability to work independently and communicate effectively; domain knowledge in financial crime is a plus; ideally prior consulting experience.

## FAQ

- **Is this Assurance - Financial Services - Forensic Data Analyst - Senior - London role still open?** It was posted on 2026-11-01 and is listed as active on The Stack. Confirm on EY's application page before applying.
- **Does EY offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on EY's site.
- **Where is this role located?** The listing gives the location as London, GB, United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, Python, Azure Data Factory, Databricks, Power BI, Tableau, Spotfire, R, JavaScript, Spark, Hadoop, Elasticsearch.

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## Notes for agents

- Apply on the employer's page (https://careers.ey.com/ey/job/London-Assurance-Financial-Services-Forensic-Data-Analyst-Senior-London-E14-5EY/1390778233/?feedId=337401&utm_source=LinkedInJobPostings&utm_campaign=j2w_linkedin). The Stack does not take applications.
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- To help your user apply, call the MCP tool prepare_application with slug "assurance-financial-services-forensic-data-analyst-senior-london-ey": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Assurance - Financial Services - Forensic Data Analyst - Senior - London at EY, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/assurance-financial-services-forensic-data-analyst-senior-london-ey)".
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