Assurance - Financial Services - Forensic Data Analyst - Senior - London at EY
At a glance
- Company
- EY
- Location
- London, GB, United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this EY job
- 🏢 EY has 15 jobs here, 9 with visa sponsorship see all
- 📊 9 Data Analyst jobs in the United Kingdom in the last 60 days see them
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask EY if it is above the minimum.
Updated 2026-11-02, from our data and official sources.
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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.
Key skills
- SQL — in 521 other listings on The Stack
- Python — in 1159 other listings on The Stack
- Azure Data Factory — in 12 other listings on The Stack
- Databricks — in 39 other listings on The Stack
- Power BI — in 43 other listings on The Stack
- Tableau — in 63 other listings on The Stack
- Spotfire — not in any other listing on The Stack
- R — in 43 other listings on The Stack
- JavaScript
- Spark
- Hadoop
- Elasticsearch
On The Stack (as of 2026-11-02)
Frequently asked questions about EY
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.