Senior Credit Risk Analyst – Modelling / CRA Data
Senior Credit Risk Analyst – Modelling / CRA Data

Senior Credit Risk Analyst – Modelling / CRA Data

Full-Time 70000 - 90000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead analytics projects, develop credit strategies, and engage with clients to solve business challenges.
  • Company: Join a top financial services firm trusted by 93% of Fortune 500 companies.
  • Benefits: Enjoy a competitive salary, bonus scheme, and excellent benefits, plus hybrid work options.
  • Why this job: Be part of a dynamic team shaping data-driven solutions in a globally recognised company.
  • Qualifications: Experience in Python, SQL, and credit risk; strong communication and leadership skills required.
  • Other info: Work three days a week in the office, collaborating with industry leaders.

The predicted salary is between 70000 - 90000 £ 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 £70-90K 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.

Senior Credit Risk Analyst – Modelling / CRA Data employer: Ventula Consulting

Join a globally renowned financial services company that not only leads the industry but also prioritises employee growth and development. With a collaborative work culture, you will have the opportunity to engage with high-profile clients while leveraging cutting-edge data analytics tools in a supportive environment. Enjoy a competitive salary, an excellent benefits package, and the chance to work alongside some of the brightest minds in the field, all within a vibrant office located in a key financial hub.
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Contact Detail:

Ventula Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Credit Risk Analyst – Modelling / CRA Data

Tip Number 1

Familiarise yourself with the specific CRA data sources and their applications in credit risk analysis. Understanding how these data sets are structured and used will give you a significant edge during interviews, as you'll be able to discuss relevant examples and demonstrate your expertise.

Tip Number 2

Brush up on your statistical techniques, especially those mentioned in the job description like Regression and Machine Learning. Be prepared to discuss how you've applied these methods in past projects, as this will showcase your technical skills and innovative mindset.

Tip Number 3

Network with professionals in the financial services industry, particularly those who work with credit risk analytics. Engaging with them can provide insights into current trends and challenges, which you can reference in your discussions with potential employers.

Tip Number 4

Prepare to demonstrate your leadership experience by thinking of specific examples where you've led teams or projects. Highlighting your ability to manage multiple analytics projects and mentor junior analysts will be crucial in showing that you're ready for a senior role.

We think you need these skills to ace Senior Credit Risk Analyst – Modelling / CRA Data

Proficient in Python and SQL
Experience with credit bureau data
Strong understanding of statistical techniques
Knowledge of machine learning techniques
Experience in data mining tools
Ability to lead and manage a team
Excellent written and verbal communication skills
Experience in presenting complex statistical techniques
Understanding of the regulatory landscape
Strong analytical skills
Ability to develop compelling proposals
Experience in client engagement and consultancy
Familiarity with cloud platforms such as GCP or Amazon AWS
Ability to conduct performance analysis and population split analysis
Strong problem-solving skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in credit risk analysis, programming languages like Python and SQL, and any previous consultancy roles. Use keywords from the job description to align your skills with what the company is looking for.

Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of the financial services industry and how your innovative mindset can contribute to their analytics projects. Mention specific statistical techniques and tools you are proficient in that are relevant to the role.

Showcase Your Communication Skills: Since strong communication skills are essential for this role, provide examples in your application of how you've successfully presented complex data analyses to both technical and non-technical audiences. This could be through past projects or presentations.

Highlight Leadership Experience: If you have experience leading teams or managing projects, make sure to include this in your application. Discuss how you have supervised analysts and driven successful outcomes in previous roles, as this is a key responsibility of the position.

How to prepare for a job interview at Ventula Consulting

Showcase Your Technical Skills

Be prepared to discuss your experience with Python and SQL in detail. Highlight specific projects where you've applied these programming languages in a credit risk environment, and be ready to explain the statistical techniques you've used.

Understand the Regulatory Landscape

Familiarise yourself with the regulatory frameworks relevant to the financial services industry. Be ready to discuss how these regulations impact credit risk analysis and how you can navigate them effectively for clients.

Demonstrate Your Leadership Experience

Since the role involves leading a small team of analysts, share examples of your leadership style and experiences. Discuss how you've successfully managed projects and mentored team members in previous roles.

Prepare for Client Engagement Scenarios

Think about how you would approach client engagement and relationship building. Prepare examples of how you've developed partnerships with clients in the past and how you’ve addressed their challenges through data-driven solutions.

Senior Credit Risk Analyst – Modelling / CRA Data
Ventula Consulting
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