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Forensic Data Analyst

Harnham - Data & Analytics Recruitment
Posted 2 days ago, valid for 16 days
Location

London, Greater London EC1R 0WX

Salary

£55,000 - £66,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position of Forensic Data Analyst offers a salary of up to £68,000 and is based in London.
  • Candidates are expected to have a strong academic background with a STEM degree from a Russell group university, along with previous consultancy experience.
  • The role involves collaborating with various stakeholders to handle sensitive client matters, managing large datasets, and developing solutions to combat financial crime.
  • Proficiency in SQL, Python, and data visualization tools like Power BI is required, along with excellent communication skills.
  • The company offers top-tier support, career opportunities, equity options, and a flexible working pattern.

FORENSIC DATA ANALYST

UP TO £68,000

LONDON

This is an exciting opportunity to provide advanced analytic services, to support high-profile and sensitive client matters such as fraud investigations, financial crime, disputes, and litigation's.

THE COMPANY

This company is a Big 4 consultancy, where you will work across developing data and analytic solutions to regularly ingest and monitor data to detect regulatory and compliance risks.

THE ROLE

You will be doing the following daily:

  • Collaborate with financial services clients, fraud investigators, auditors (both internal and external), legal teams, and regulatory authorities in handling sensitive matters.
  • Engage with clients to define project scope and gather requirements.
  • Interpret and communicate analytical insights to clients, ensuring relevance to their specific business needs.
  • Oversee the complete project lifecycle, including data extraction, transformation, loading (ETL), analysis, visualisation, and final client delivery.
  • Manage and analyse large volumes of both structured and unstructured data from diverse sources.
  • Conduct both reactive and proactive data analysis on extensive datasets using technologies such as Python, SQL, and Power BI.
  • Supervise junior team members and ensure the quality control of the team's deliverables.
  • Develop algorithms and solutions to detect, respond to, prevent, monitor, and investigate fraud, bribery, corruption, misconduct, and financial crime.
  • Apply advanced analytical techniques to prevent, detect, monitor, and investigate improper transactions, events, or behavioural patterns linked to fraud and non-compliance.
  • Create and present clear visualisations of analytical findings to demonstrate value and impact to clients.
  • Align with strategic teams focusing on technology, innovation, and business development initiatives.

YOUR SKILLS AND EXPERIENCE

  • Strong academic qualifications, with a STEM degree from a Russell group university.
  • Proficiency in SQL, Python, Azure, or Databricks.
  • Excellent written and verbal communication skills.
  • Previous experience working within a consultancy setting.
  • Knowledge around financial crime, market abuse, mis-selling remediations, accounting, fraud, bribery, and corruption.

THE BENEFITS

  • Up to £68,000.
  • Top-tier support and coaching.
  • Excellent career opportunities.
  • Generous equity/shares within the business.
  • Flexible working pattern.

HOW TO APPLY

Please register your interest by sending your CV to Gaby Adamis via the Apply link on this page.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.