Associate Consultant - Data & Analytics

Equifax, Inc.; City Of London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Equifax, Inc. is seeking an Associate Consultant in the UK to lead analytical and consultancy projects within Data and Analytics.

You will design and develop complex modelling assignments exploiting CRA data, engaging with external customers and stakeholders to deliver revenue. You will develop statistical models, support credit strategy, scorecard and model development, and use SQL and Python to prepare data and present insights to clients and senior leaders.

Qualifications

• Develop statistical models using CRA data assets.
• Deliver analytical projects including credit strategy and scorecard development within timelines.
• Analyze multiple data sources with logistic, linear, trees, CHAID, clustering.
• Communicate results to influence business decisions; prepare data for analysis.
• Understand consumer credit regulations and their impact on clients.
• Support Sales with proposals and client presentations.

Responsibilities

• Lead analytical projects and manage multiple client engagements.
• Prepare and present analytical findings to clients and internal leadership.
• Collaborate with Sales to define customer solutions and proposals.

Skills

Statistical modeling

Data analysis

SQL

Python

Credit risk experience

Communication skills

Project management

Education

Numerical degree (2:1+)

Tools

Git/Github

Google Apps Script

VBA

Job description

As an Equifax Associate Consultant you will play a pivotal role in Client Analytics within Data and Analytics (D&A). You will lead analytical and consultancy projects, including the design and development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers / stakeholders and will manage multiple projects delivering revenue for Equifax UK.

What You’ll Do

• 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.