Data Analytics Pilots on Financial Crime - Data Scientist (Transactions) - 1 of 3 roles

Tender description

Who Speclialist Work With Working with FCA Data Scientists, with SMEs in financial crime and with some third party data vendors / collaborators What Specialists Work On The FCA 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) Where the Work Takes Place 12 Endeavour Square, London E20 1JN Early Market Engagement N/A Working Arrangements Team will be expected to work on-site using FCA IT with occasional visits to third party collaborators where required. FCA work day is 7 hours (excluding 1 hour lunch break) no weekend work is required. The FCA does not pay expenses unless in exceptional circumstances and only in so far as it aligns with the FCA employee expenses policy. Work Location 12 Endeavour Square, London E20 1JN Security Clearance Standard FCA security clearance process (typically 2-3 days) Additional T&Cs The FCA reserves the right to terminate the Contract at the end of each of Phase. We are currently seeking resource for Phase 1 which is expected to last 3 months. The expectation is that Phase 1 resources will be available for Phase 2 and any further phases as approved by the FCA. Further details regarding the phases will be made available to shortlist listed bidders. 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 Nice to Haves 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. No. of Specialists to Evaluate 3 Cultural Fit Criteria Work as a team with our organisation and other suppliers Take responsibility for their work Be transparent and collaborative when making decisions Share knowledge and experience with other team members Assessment Method Evaluation Weighting Technical competence 60% Cultural fit 10% Price 30% Questions from Suppliers Budget range £600