Data Scientist
- Employer
- Quast Ltd
- Location
- 12 Endeavour Square, London E20 1JN
- Salary
- Up to £535/day
- Closing date
- 24 Dec 2018
View more
- Clearance Level
- BPSS
- Sector
- Central Government, Defence, Information Technology, Procurement, Public Sector, Security, Counter Terrorism
- Job Type
- Contract
Job Details
DATA SCIENTIST, FINANCIAL CONDUCT AUTHORITY, UP TO £535/DAY
Role / Reference: Data Scientist / DOS8536
Client: Financial Conduct Authority
Assignment Location: 12 Endeavour Square, London E20 1JN
Rate: £535/day
Contract Length: 12-24 months (initially 3 months)
Deadline for submissions: 24/12/2018 at 12:00
Security Clearance Required: You must be willing to undergo BPSS Disclosure Scotland - Basic Check clearance
Required Start Date: 07/02/2019
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.
Role Summary
Phase 1 = 3 pilot projects relating to financial crime: Support Pilot /POC build of a customizable transactions data simulator, initially for creating a specific type of transaction. Create taxonomy & database of data (internal and external) to identify firm risk. Customisation tool to generate data, testing sanction screening tools.
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 create a customisable tool to generate data with which to test sanctions screening tools
Essential Skills & Experience
- Our expectation is that the sanctions monitoring workstream will require data analysis/data science, statistics and record matching skills:
- Experience with compliance databases such as BVD, Worldcheck, LegalKey, etc.
- Experience with PEPs, sanctions and negative media screening.
- Data matching: entity resolution, fuzzy matching, duplicate detection, etc.
- Cloud computing
Desirable Skills & Experience
- Our expectation is that the sanctions monitoring workstream will require data analysis/data science, statistics and record matching skills:
- Solid understanding of UK and European money laundering regulations, initiatives and directives
- Exposure to anti financial-crime work within a UK-regulated bank and proven experience of AML/KYC requirements.
- Experience collaborating with 3rd party vendors
Company
Quast Recruitment – high quality technology recruitment, led by experienced technology leaders.
- Website
- http://www.quast.co.uk/
- Telephone
- +441727617280
- Location
-
98 Fishpool Street
St Albans
Hertfordshire
AL3 4RX
United Kingdom
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