Data & Analytics Consultant – Modelling / CRA Data
Data & Analytics Consultant – Modelling / CRA Data

Data & Analytics Consultant – Modelling / CRA Data

Nottingham Full-Time 70000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Engage with clients, lead analytics projects, and develop complex data models.
  • Company: Join a top financial services firm used by 93% of Fortune 500 companies.
  • Benefits: Enjoy a competitive salary, bonus scheme, and excellent benefits package.
  • Why this job: Be part of a dynamic team solving real-world problems with data and analytics.
  • Qualifications: Experience in Python, SQL, and credit risk; strong communication and leadership skills required.
  • Other info: Work 3 days a week in the office and gain exposure to cutting-edge technologies.

The predicted salary is between 70000 - 80000 £ per year.

One of the world’s leading financial services companies (products used by 93% of Fortune 500) requires a Data & Analytics consultant. 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.

Responsibilities:

  • 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:

  • 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.
  • 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.

This position offers a basic salary between £70-80K with an excellent benefits package and bonus scheme. The role requires 3 days a week in the office. This is a wonderful opportunity to work for one of the world's leading financial data companies who are known around the world.

Data & Analytics Consultant – Modelling / CRA Data employer: LinkedIn

As a Data & Analytics Consultant at one of the world's leading financial services companies, you will thrive in a dynamic work culture that prioritises innovation and collaboration. With a competitive salary and an excellent benefits package, including a bonus scheme, this role offers significant opportunities for professional growth and development while working closely with high-profile clients. Located in a vibrant area, you will enjoy a stimulating environment that fosters creativity and engagement, making it an ideal place for those seeking meaningful and rewarding employment.
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Contact Detail:

LinkedIn Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data & Analytics Consultant – Modelling / CRA Data

Tip Number 1

Familiarise yourself with the specific CRA data and its applications in credit risk. Understanding how this data is used in modelling will give you an edge during interviews, as you can demonstrate your knowledge of industry practices.

Tip Number 2

Brush up on your Python and SQL skills, especially in the context of data analysis and modelling. Being able to discuss your experience with these programming languages confidently will show that you're ready to hit the ground running.

Tip Number 3

Prepare to showcase your leadership experience. Think of examples where you've led a team or project, particularly in analytics or consultancy settings, as this role involves managing a small team of analysts.

Tip Number 4

Practice explaining complex statistical techniques in simple terms. Since you'll be presenting to both technical and non-technical audiences, being able to communicate effectively will be crucial for your success in this role.

We think you need these skills to ace Data & Analytics Consultant – Modelling / CRA Data

Proactive Client Engagement
Team Leadership
Proposal Writing
Project Management
Data Analysis
Statistical Techniques
Machine Learning Techniques
Programming in Python
SQL Proficiency
Data Mining Tools
Credit Risk Analysis
Understanding of Regulatory Landscape
Communication Skills
Presentation Skills
Analytical Consultancy Experience
Big Data Environment Experience
Cloud Computing (GCP or AWS)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, programming languages like Python and SQL, and any previous consultancy roles. Emphasise your ability to lead teams and manage projects, as these are key aspects of the job.

Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of the financial services industry and the specific challenges faced by clients. Mention your innovative mindset and how you've previously identified opportunities through data analytics.

Showcase Technical Skills: Clearly outline your technical expertise in statistical techniques and data mining tools. Provide examples of how you've applied these skills in past roles, particularly in credit risk environments.

Prepare for Interviews: Be ready to discuss your experience with CRA data and machine learning techniques. Prepare to explain complex statistical concepts in simple terms, as you may need to present to both technical and non-technical audiences.

How to prepare for a job interview at LinkedIn

Showcase Your Technical Skills

Make sure to highlight your experience with Python and SQL during the interview. Be prepared to discuss specific projects where you've applied these programming languages, especially in a credit risk environment.

Demonstrate Your Analytical Mindset

Prepare examples of how you've used statistical techniques like regression analysis or machine learning to solve business problems. This will show your potential employer that you can apply complex concepts to real-world scenarios.

Communicate Effectively

Since you'll be presenting to various stakeholders, practice explaining complex data concepts in simple terms. Tailor your communication style to suit both technical and non-technical audiences, ensuring clarity and engagement.

Understand the Industry Landscape

Familiarise yourself with the regulatory landscape relevant to the financial services industry. Being able to discuss current trends and challenges will demonstrate your commitment and understanding of the sector.

Data & Analytics Consultant – Modelling / CRA Data
LinkedIn
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  • Data & Analytics Consultant – Modelling / CRA Data

    Nottingham
    Full-Time
    70000 - 80000 £ / year (est.)

    Application deadline: 2027-07-09

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    LinkedIn

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