Market Intelligence - Associate Consultant

As an Associate Consultant you will play a pivotal role in the
Market Intelligence
function within Data and Analytics (D&A), leading analytical projects & BAU activities to shine a light on emerging credit market trends. You will actively engage with diverse internal stakeholders, fostering collaborative relationships, and deliver analytical output that both supports pipeline revenue generation and contributes to thought leadership in the dynamic UK credit market.
What You’ll Do
Extract core
CRA data
and providing insights to highlight trends and themes being exhibited in the UK marketplace
Responsible for supporting the delivery of varied analytical projects that utilise large datasets in a cloud-based environment
Demonstrate proficiency in managing and analysing data efficiently, employing analytical tools such as
SQL
,
SAS
and
Python
to conduct in-depth analysis, uncover patterns, and generate actionable insights
Develop and maintain robust reporting mechanisms and communicate findings effectively to both technical and non-technical audiences
Regularly collaborate with stakeholders to understand their information needs and to provide prompt, data-driven insights & solutions
Maintain timely understanding of industry trends and regulatory changes with respect to consumer credit and the potential impact to our clients.
What experience you need
Relevant numerical degree with a 2:1 or above
Experience in programming languages SAS, SQL and Python in a
credit risk
environment
An innovative mindset, with experience identifying opportunities that deliver incremental business benefit through leveraging of data and analytics
Excellent written and verbal communication skills with the ability to communicate with team members and clients at various levels, including business leaders
A collaborative mindset and willingness to engage with cross-functional teams
What could set you apart
Previous experience of UK credit bureau data
Experience with VBA or Google Apps Script
Cloud experience using GCP or Amazon AWS
Experience in data visualisation tools
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