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Senior Financial Crime Analytics Consultant

Harnham - Data & Analytics Recruitment
Posted 23 days ago, valid for 20 days
Location

London, Greater London EC1R 0WX

Salary

£36,000 - £43,200 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 Senior Financial Crime Analytics Consultant in London offers a salary of up to £65,000.
  • Candidates are expected to have experience in financial crime analytics and strategy, preferably within industry or consulting.
  • The role involves designing, implementing, and optimizing financial crime detection systems, including anti-money laundering and transaction monitoring solutions.
  • Strong proficiency in SQL or Python is required for data extraction and analysis, along with the ability to provide actionable insights to clients.
  • Successful applicants will lead client projects, analyze large datasets, and stay updated on industry trends and regulations related to financial crime prevention.

SENIOR FINANCIAL CRIME ANALYTICS CONSULTANT

LONDON

UP TO £65,000

Join a leading big 4 who work with top-tier financial institutions and regulatory bodies to solve complex challenges related to financial crime, fraud, and compliance.

THE ROLE

In this role, you will provide expert advisory and hands-on support in designing, implementing, and optimizing financial crime detection systems and analytics. You will play a critical part in building advanced anti-money laundering (AML) and transaction monitoring (TM) solutions, leveraging data analytics to uncover hidden risks, and ensuring compliance with regulatory standards.

RESPONSIBILITIES

  • Lead client projects focused on financial crime risk, including AML, TM, sanctions, and fraud analytics.
  • Design and implement AML and TM models to detect suspicious behavior, optimize detection rules, and improve system effectiveness.
  • Collaborate with internal and client teams to analyze large datasets and identify key trends or anomalies in transaction data.
  • Build and validate predictive models using advanced statistical techniques, ensuring compliance with evolving regulatory requirements.
  • Leverage SQL and Python to extract, manipulate, and analyze large datasets from multiple sources.
  • Provide actionable insights to senior client stakeholders, translating complex data outputs into clear business recommendations.
  • Stay abreast of the latest industry trends, regulations, and technologies related to financial crime prevention.

REQUIREMENTS

  • Financial crime analytics and strategy experience within industry or consulting
  • Strong experience with SQL or python

HOW TO APPLY

Please apply below or send CV

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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.