Data Scientists / Analysts (Big Data / Python / R)
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Data Scientist / Analyst (Big Data / Python / R), Pyrgont, R, Learning Models, Cloud, AWS, Amazon Web Services, Netlogo, Mesa, Parallel, Actimize, Mantas, Fortent, AML, KYC, Banking, Financial, Government, Public Sector, Big Data, Payment Data,
Support Pilot /POC build of a customizable transactions data simulator, initially for creating a specific type of transaction.
Create taxononmy & database of data (internal and external) to identify firm risk.
Customisation tool to generate data, testing sanction screening tools.
Working with Data Scientists, with SMEs in financial crime and with some third party data vendors / collaborators
The client is running a number of pilots on the use of data science focused on assessing firm effectiveness at detecting financial crime.
This role is for a Data Scientist to support Pilot /POC build of a customizable transactions data simulator, initially for creating a specific type of transaction (e.g. payment data between retail banks)
Key Skills / Experience
Our expectation is that the transaction monitoring workstream will require Data Science and big data engineering skills:
* Python/R
* Agent based models
* Supervised learning models
* Unsupervised learning models
* Experience with cloud computing
Our expectation is that the transaction monitoring workstream will require Data Science and big data engineering skills:
* Experience with AWS cloud
* Experience with agent based modelling software (e.g. Netlogo, Mesa, etc.)
* Parallel computing
* Object-orientated programming
* Exposure to operational risk assessments and the identification of setting of risk indicators.
* Strong commercial awareness of financial drivers and risk activities within banking.
* Understanding of payment activities in banking, particularly relating to AML and compliance.
* Experience with transaction monitoring systems such as Actimize, Mantas, Fortent etc.
* Exposure to anti financial-crime work within a UK-regulated bank and proven experience of AML/KYC requirements.