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VIA REEDEmployer is licensed, listing proof pendingLicensed sponsorData Analyst

Business/Data Analyst ML system implementation

eFinancialCareersLondonPosted 21 Jul 2026

Salary: Not disclosed

Route: Skilled Worker

Contract: Permanent

Listing sponsorship signal

This employer is linked to a licensed sponsor, but the listing text does not yet show explicit visa-support wording.

Job summary

<p>Our Contingent Workforce Solutions (CWS) is one of our service offerings. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.</p> <p>Our client, a major UK retail bank, provides every day banking services to over 17 million retail customers. The banks expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.</p> <p><br />On behalf of this organisation, AMS are looking for a Business/ Data Analyst with strong experience in machine learning system implementation, for a 6 month contract (with potential for extension) based in the London office (hybrid model, 2 days a week in the office).</p> <p><strong>Purpose of the role:</strong></p> <p>The Business / Data Analyst will support the implementation of our client's transaction monitoring system from a legacy rules-based environment to a Machine Learning-driven AML platform.</p> <p>This role sits within the Product team and will play a key role in defining requirements, supporting model development and ensuring effective financial crime detection outcomes within a fast-paced agile programme.</p> <p><strong>What you'll do:</strong></p> <ul> <li>Gather and document business and AML requirements.</li><li>Work with Product Owner and tech teams to define scope and data needs.</li><li>Translate financial crime risks into system and data requirements.</li><li>Support the implementation of a machine learning AML solution.</li><li>Work with data teams to define and validate model inputs and outputs.</li><li>Assist with model training, testing, and tuning (calibration).</li><li>Extract and analyse data (SQL/MongoDB) to support decision making.</li><li>Validate that model outputs align with AML risk scenarios.</li><li>Collaborate with AML, Compliance, Data, and Tech teams.</li><li>Explain technical concepts in a clear way.</li></ul> <p><strong>The skills you'll need:</strong></p> <ul> <li>Proven Business Analyst/ Data Analyst experience on technology change, implementation projects ideally, in moving from rules based to machine learning. </li><li>Strong SQL (or MongoDB) skills, able to analyse data independently.</li><li>Experience working with data (customer / transaction data).</li><li>Experience working in Agile delivery environments.</li><li>Ability to translate business needs into data/technical requirements.</li><li>Experience with Machine Learning / AI projects.</li><li>Python skills.</li><li>Exposure to model training, testing, or tuning (desirable).</li><li>Experience in Transaction Monitoring (highly desirable) or Financial Crime / AML (desirable).</li></ul> <p><strong>Next steps</strong></p> <p>This client will only accept workers operating via an Umbrella or PAYE engagement model.</p> <p>If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.</p> <p>AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business</p>

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UK Visa Sponsorship Business/Data Analyst ML system implementation at eFinancialCareers in London — Reworkin