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For Companies At a Glance
- Tasks: Engage with clients, lead analytics projects, and develop data-driven solutions.
- Company: Equifax empowers you to reach your potential while making a meaningful impact.
- Benefits: Enjoy flexible work options, generous holiday, and a range of health and wellness perks.
- Why this job: Join a dynamic team, tackle real-world challenges, and enhance your skills in a supportive environment.
- Qualifications: A 2:1 degree in a numerical field and experience in Python, SQL, and credit risk.
- Other info: Opportunities for personal development and a vibrant workplace culture await you.
The predicted salary is between 43200 - 72000 £ 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 Consultant, you will play a pivotal role in the Client Analytics team within Data and Analytics (D&A). You will work closely with clients to proactively understand their challenges, propose and develop solutions and lead the execution of 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 analytics and consultancy projects.
What you’ll do:
- Proactive client engagement, developing partnerships with risk / analytics counterparts within clients; developing a deep knowledge of the relevant industries, clients’ business models, challenges and opportunities to address these.
- Lead a small team of analysts, providing supervision and leadership.
- Write compelling proposals to win new analytics and consultancy opportunities.
- Responsible for delivering analytics projects leveraging CRA data assets. This includes credit strategy and model developments to the required quality standards and timescales. This will cover all stages, including sample design, retrospective analysis, performance analysis, population split analysis and reject analysis.
- Develop deep data knowledge in the structure, application and permissible use of data sources, across consumer, commercial and open banking lines of business.
- Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems.
- Application of data mining tools and programming languages Python and SQL to prepare data, undertake analysis and develop solutions for internal and external clients.
- Responsible for presenting proposals, approaches and results to stakeholders, including complex statistical techniques to a range of technical / non-technical audiences of all sizes through to C-Suite, to generate improved business decisions and profitability.
- Understanding of the regulatory landscape within which the assigned clients operate.
- Work closely with internal Sales and Strategy Consulting teams to inform and shape broader opportunities and solutions.
What experience you need:
- Relevant numerical degree with a 2:1 or above.
- Experience in programming languages Python and SQL in a credit risk environment.
- Experience in the use of credit bureau data.
- An innovative mindset, with experience identifying opportunities that deliver incremental business benefit through leveraging of data and analytics.
- Strong technical expertise and experience of statistical techniques to solve business problems.
- 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.
- Extensive hands-on experience in a credit risk / model development environment.
What could set you apart:
- Experience in leading and management.
- Previous analytical consultancy in a big data environment.
- Deep understanding of the industry / regulatory landscape.
- Exposure to machine learning techniques.
- Cloud experience using GCP or Amazon AWS.
The Perks of being an 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-London GBR-Leeds-6-Wellington, GBR-Nottingham
Function: Function - Data and Analytics
Schedule: Full time
D&A Consultant - Client Analytics employer: Kount
Contact Detail:
Kount Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land D&A Consultant - Client Analytics
✨Tip Number 1
Familiarise yourself with the specific statistical techniques mentioned in the job description, such as regression techniques and machine learning. Being able to discuss these methods confidently during interviews will demonstrate your technical expertise and understanding of the role.
✨Tip Number 2
Research Equifax's recent projects and initiatives in client analytics. This knowledge will not only help you understand their business better but also allow you to engage in meaningful conversations about how you can contribute to their goals.
✨Tip Number 3
Network with current or former employees of Equifax on platforms like LinkedIn. They can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 4
Prepare to showcase your experience with Python and SQL through practical examples. Be ready to discuss specific projects where you've applied these programming languages to solve real-world problems, as this will highlight your hands-on experience in a credit risk environment.
We think you need these skills to ace D&A Consultant - Client Analytics
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the D&A Consultant position at Equifax. Tailor your application to highlight how your skills and experiences align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with programming languages like Python and SQL, particularly in a credit risk environment. Mention any specific projects where you've applied statistical techniques or data mining tools.
Craft a Compelling Proposal: If the application requires a proposal, ensure it is well-structured and clearly outlines your approach to solving business problems using analytics. Use examples from your past work to demonstrate your innovative mindset and ability to deliver business benefits.
Showcase Communication Skills: Since strong communication skills are essential for this role, provide examples in your application that demonstrate your ability to present complex information to both technical and non-technical audiences. This could include presentations, reports, or client interactions.
How to prepare for a job interview at Kount
✨Understand the Role and Responsibilities
Before the interview, make sure you thoroughly understand the job description. Familiarise yourself with the key responsibilities, such as client engagement and analytics project delivery, so you can discuss how your skills align with these requirements.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python and SQL, as well as statistical techniques. Consider bringing examples of past projects where you've successfully applied these skills to solve business problems.
✨Prepare for Client Engagement Scenarios
Since the role involves significant client interaction, think about how you would approach building relationships with clients. Prepare examples of how you've previously engaged with stakeholders and addressed their challenges effectively.
✨Communicate Clearly and Confidently
Practice explaining complex statistical concepts in simple terms, as you'll need to present findings to both technical and non-technical audiences. Clear communication is key, especially when discussing your analytical insights with clients or C-Suite executives.
