Associate Consultant - Data & Analytics

Equifax; Greater London; Hybrid; GBP 32,000 - 42,000; Full time

Benefits offered by this job

4 days in-office collaboration

Friday flexibility

Job summary

Equifax in the United Kingdom is seeking Associate Consultants to develop statistical models and analytical solutions for credit risk projects across London, Nottingham and Leeds.

You will contribute to credit strategy, scorecard and model development, perform data analysis using SQL and Python, and present insights to clients and senior stakeholders while ensuring regulatory considerations are addressed.

Qualifications

• Numerical degree with 2:1 or higher.
• Experience in UK credit risk.
• Proficiency in SQL and Python.
• Able to communicate analyses clearly.
• Experience in credit strategy, scorecard and model development.

Responsibilities

• Support delivery of analytical projects on credit risk.
• Develop credit strategy, scorecards, and models to required standards.
• Analyze multiple data sources using statistical methods.
• Use SQL and Python to prepare data for analysis.
• Communicate analytical results to guide business decisions.
• Understand regulatory landscape affecting consumer credit.
• Support Sales with proposals and customer solutions.
• Prepare and deliver presentations to clients and leadership.

Skills

SQL

Python

Statistical modelling

Data analysis

Education

Numerical degree (2:1+)

Tools

Git/Github

VBA

Google Apps Script

Job description

Organisation Equifax

Locations

London / Nottingham / Leeds

Application Deadline

Application Deadline 29 days remaining

• Our Associate Consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging CRA data assets
• Responsible for supporting the delivery of analytical projects. This includes credit strategy development, scorecard and model development to required quality standards and project timescales. This will cover all stages, including sample design, retrospective analysis, performance analysis, population split analysis and reject analysis.
• This position will involve performing analysis of multiple data sources using statistical analysis (Logistic Regression, Linear Regression, Decision Trees, Exploratory Data Analysis, CHAID analysis & Cluster Analysis) and computer science to solve business problems.
• We are looking for someone who is able to communicate analytical results to generate improved business decisions and profitability. The role involves using data mining tools and programming languages SQL and Python to prepare data for analysis and business decision making and also involves delivering analytical and commercial solutions for internal and external clients.
• Understanding of the regulatory landscape with respect to consumer credit and consumer duty and the potential impact to our clients
• Provide the required support to Sales teams to enable them to determine the most appropriate customer solution and to enable them to write the project proposal
• To support customers and sales by undertaking professional presentations to audiences of all sizes, from junior levels through to the Board

What Experience You Need

• Relevant numerical degree with a 2:1 or above
• Strong experience working in UK credit risk
• Proficiency using SQL and Python
• An innovative mindset, with experience identifying opportunities that deliver incremental business benefit through leveraging of data and analytics
• You possess excellent written and verbal communication skills with the ability to communicate with team members and clients at various levels, including business leaders.
• Experience in all stages of credit strategy, scorecard and model development

What Could Set You Apart

• Previous experience of working with credit bureau data
• Previous consultancy experience
• Additional languages desirable are VBA or Google Apps Script
• Cloud experience and use of Git/Github

We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday-Thursday) , paired with Friday Flexibility to wrap up your week remotely.