At a Glance
- Tasks: Lead analytical projects and develop complex models using data to drive business decisions.
- Company: Join Equifax, a global leader in data and analytics with a focus on innovation.
- Benefits: Enjoy competitive salary, flexible benefits, 26 days holiday, and personal development opportunities.
- Why this job: Make a real impact by solving business problems with data and analytics.
- Qualifications: Numerical degree, experience in credit risk, and proficiency in SQL and Python required.
- Other info: Dynamic work environment with excellent career growth and a commitment to inclusion and diversity.
The predicted salary is between 35000 - 45000 £ per year.
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.
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.
- Relevant numerical degree with a 2:1 or above.
- Strong and current 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.
- 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 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.
Associate Consultant - Client Analytics employer: Equifax, Inc.
Contact Detail:
Equifax, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Consultant - Client Analytics
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use examples from your past work to demonstrate how you’ve tackled challenges using data.
✨Tip Number 3
Don’t just apply; engage! When you submit your application through our website, follow up with a quick email to express your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Stay updated on industry trends and tools like SQL and Python. Being knowledgeable about the latest developments will help you stand out during interviews and discussions.
We think you need these skills to ace Associate Consultant - Client Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate Consultant role. Highlight your experience with statistical models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Client Analytics and how your background makes you a great fit. Don’t forget to mention your proficiency in SQL and Python!
Showcase Your Communication Skills: Since you'll be communicating analytical results to clients, it's crucial to demonstrate your written communication skills. Keep your application clear and concise, and make sure to proofread for any errors!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to track your application status directly. Let’s get you on board!
How to prepare for a job interview at Equifax, Inc.
✨Know Your Numbers
Brush up on your statistical modelling skills and be ready to discuss specific techniques like Logistic Regression or Decision Trees. Prepare examples of how you've used these methods in past projects, as this will show your hands-on experience and analytical expertise.
✨Master SQL and Python
Since proficiency in SQL and Python is crucial for this role, make sure you can demonstrate your coding skills. Consider preparing a small project or example that showcases your ability to manipulate data and derive insights using these languages.
✨Communicate Clearly
Practice explaining complex analytical results in simple terms. You might be asked to present findings to various stakeholders, so being able to communicate effectively with both technical and non-technical audiences is key.
✨Understand the Regulatory Landscape
Familiarise yourself with the current regulations surrounding consumer credit and how they impact businesses. Being knowledgeable about this area will not only impress your interviewers but also show that you understand the broader context of your work.