cornerstone
Business/Data Analyst (ML system implementation)
AMS
London, GBR
Contract
Mid
Hybrid
Discovered 2 weeks ago
SQLMongoDBPython
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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.
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