At a Glance
- Tasks: Lead analytical projects and develop complex models using CRA data.
- Company: Join Equifax, a leader in Data & Analytics with a collaborative culture.
- Benefits: Enjoy competitive salary, flexible work options, and extensive benefits.
- Other info: Dynamic team environment with excellent career growth and learning opportunities.
- Why this job: Make a real impact by solving business problems with data-driven insights.
- Qualifications: Numerical degree, strong SQL and Python skills, and credit risk experience.
The predicted salary is between 29700 - 36300 £ 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
- Develop statistical models, with hands-on detailed analytic & modelling expertise, leveraging CRA data assets.
- Support the delivery of analytical projects, including credit strategy development, scorecard and model development to required quality standards and project timescales.
- Perform 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.
- Communicate analytical results to generate improved business decisions and profitability.
- Use data mining tools and programming languages SQL and Python to prepare data for analysis and business decision making.
- Deliver analytical and commercial solutions for internal and external clients.
- Provide support to Sales teams to determine the most appropriate customer solution and to enable them to write project proposals.
- Undertake 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.
- 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.
The Perks of being an Equifax Employee?
- 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.
- Flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!
- Support for personal development and a range of learning options including our global online learning platform.
- Support for 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-London; GBR-Leeds-6-Wellington; GBR-Nottingham
Function: Function - Data and Analytics
Schedule: Full time
Associate Consultant - Data & Analytics in Nottingham employer: Equifax
Equifax is an exceptional employer that fosters a dynamic work culture in Greater London, where innovation and collaboration thrive. Employees benefit from comprehensive growth opportunities, competitive compensation, and the chance to make a meaningful impact on the company's revenue strategy through strategic partnerships. Join us to be part of a forward-thinking team dedicated to driving success and expanding market reach.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Consultant - Data & Analytics in Nottingham
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We think you need these skills to ace Associate Consultant - Data & Analytics in Nottingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Equifax. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Equifax
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
