Business/Data Analyst (ML system implementation)

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

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.

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.

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).

Purpose of the role:

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.

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.

What you'll do:

• Gather and document business and AML requirements.
• Work with Product Owner and tech teams to define scope and data needs.
• Translate financial crime risks into system and data requirements.
• Support the implementation of a machine learning AML solution.
• Work with data teams to define and validate model inputs and outputs.
• Assist with model training, testing, and tuning (calibration).
• Extract and analyse data (SQL/MongoDB) to support decision making.
• Validate that model outputs align with AML risk scenarios.
• Collaborate with AML, Compliance, Data, and Tech teams.
• Explain technical concepts in a clear way.

The skills you'll need:

• Proven Business Analyst/Data Analyst experience on technology change, implementation projects ideally, in moving from rules based to machine learning.
• Strong SQL (or MongoDB) skills, able to analyse data independently.
• Experience working with data (customer/transaction data).
• Experience working in Agile delivery environments.
• Ability to translate business needs into data/technical requirements.
• Experience with Machine Learning/AI projects.
• Python skills.
• Exposure to model training, testing, or tuning (desirable).
• Experience in Transaction Monitoring (highly desirable) or Financial Crime/AML (desirable).

Next steps

This client will only accept workers operating via an Umbrella or PAYE engagement model.