Financial Conduct Authority

Analytics Hub - Phase 2 - Data scientists

Incomplete applications

6
Incomplete applications
4 SME, 2 large

Completed applications

9
Completed applications
6 SME, 3 large
Important dates
Opportunity attribute name Opportunity attribute value
Published Friday 23 February 2018
Deadline for asking questions Friday 2 March 2018 at 11:59pm GMT
Closing date for applications Friday 9 March 2018 at 11:59pm GMT

Overview

Overview
Opportunity attribute name Opportunity attribute value
Summary of the work A Team of (approx) 2-3 Junior or mid level data scientists is required to support the FCA in delivering Analytics capability across the organisation through a variety of projects.
Latest start date Thursday 22 March 2018
Expected contract length 3 months
Location London
Organisation the work is for Financial Conduct Authority
Budget range Estimated £50,000 inc VAT over 3 months

About the work

About the work
Opportunity attribute name Opportunity attribute value
Why the work is being done As part of our Data Strategy The Financial Conduct Authority is increasing it's advanced analytics capability.
Regtech and Advanced Analytcis (R&AA) will lead the development of organisation-wide capability to support a more analytics-led regulatory approach.
Such projects could target improved operational efficiency and process automation, enhanced understanding of firms and markets, and/or better risk identification (through exploitation of varied data sets and analytics techniques).
Potential use of: Artificial intelligence, text analysis techniques, unsupervised machine learning and clustering techniques, natural language processing tools to extract and collate key information
Problem to be solved Outcomes:
Provide support for a variety of analytics projects including existing projects on Webscraping & NLP alongside new projects still being scoped.
Build credibility and demonstrate the value of analytics to various FCA stakeholders through outputs and communication skills
Integrate resources so they work effectively as part of the FCA Analytics team with FCA involvement in performance management
Provide key technical skills required by the FCA team with the ability to provide some limited support and access to wider organisational expertise where required
Participate in the development of the department e.g. through helping run study group sessions
Who the users are and what they need to do The R&AA Department supports users from across the FCA, in a variety of different divisions, dependent on the project this currently includes: Supervision,
Enforcement and
Operations
Early market engagement N/A
Any work that’s already been done
Existing team The R&AA Department is a relatively new team, it is comprised of a mixture of FCA Resource, External secondees and other third party suppliers.
Current phase Not applicable

Work setup

Work setup
Opportunity attribute name Opportunity attribute value
Address where the work will take place 25 The North Colonnade
Canary Wharf
London
E14 5HS
Working arrangements The supplier will be expected to work onsite
Security clearance Standard FCA Security checks and confidentiality agreement - short SLA

Additional information

Additional information
Opportunity attribute name Opportunity attribute value
Additional terms and conditions

Skills and experience

Buyers will use the essential and nice-to-have skills and experience to help them evaluate suppliers’ technical competence.

Skills and experience
Opportunity attribute name Opportunity attribute value
Essential skills and experience
  • The supplier must have experience in fully integrating data science consultants into an existing client team
  • The supplier must be able to support project resource with access to training or knowledgeable experts where required
  • Project resources must have experience and/or accredited training in R or Python
  • Project resources must have experience and/or accredited training in Visualisation, Spotfire or Tableau
  • Project resources must have experience and/or accredited training in Visualisation, Spotfire or Tableau
  • Project resources must have experience and/or accredited training in Working with large data sets
  • Project resources must have experience and/or accredited training in Supervised Data Science methods (e.g. stepwise, forward stagewise, LASSO, random forest, support vector machine, bagging etc.)
  • Project resources must have experience and/or accredited training in Unsupervised Data Science methods (e.g. clustering techniques, k-nearest-neighbour methods)
Nice-to-have skills and experience
  • Project resources should have experience and/or accredited training in SQL, VBA and Graphing e.g. Neo 4J
  • Project resources should have experience and/or accredited training in communication skills
  • Project resources must have experience and/or accredited training in presentation skills

How suppliers will be evaluated

How suppliers will be evaluated
Opportunity attribute name Opportunity attribute value
How many suppliers to evaluate 3
Proposal criteria
  • Technical skills and experience
  • Team structure
  • Value for money
Cultural fit criteria
Payment approach Capped time and materials
Assessment methods
  • Written proposal
  • Case study
Evaluation weighting

Technical competence

50%

Cultural fit

20%

Price

30%

Questions asked by suppliers

Questions asked by suppliers
Supplier question Buyer answer
1. The skill 'Project resources must have experience and/or accredited training in Visualisation, Spotfire or Tableau' appears twice. This is a formatting error, the requirement should only appear once