Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
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.
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 in order to generate improved business decisions and profitability. The role involves using data mining tools and programming languages SAS, 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 the potential impact to our clients
Provide the required support to Sales and Strategy Consulting 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
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
Strong communication and consulting skills, with the ability and confidence to present to business partners and clients
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
Relevant numerical degree with a 2:1 or above
3-5 years of experience in Credit Risk
Data integration, structures and ETL
Previous use of credit bureau data
Cloud experience using GCP or Amazon AWS
Previous consultancy experience
This is a 12 month Fixed term Contract
The Perks of being a Equifax Employee?
We offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!
We also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Wellbeing and Employee Engagement forums.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
GBR-Leeds-6-WellingtonGBR-London, GBR-NottinghamFunction:
Function - Data and AnalyticsSchedule:
Full time