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

Senior Credit Risk Analyst - Modelling / CRA Data

Nottingham Full-Time 60000 - 90000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead analytics projects, develop models, and engage with clients to solve complex 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 package.
  • Why this job: Be part of a dynamic team shaping data-driven solutions in a globally recognised company.
  • Qualifications: Experience in Python, SQL, credit risk, and strong communication skills are essential.
  • Other info: Work three days a week in the office, collaborating with industry leaders.

The predicted salary is between 60000 - 90000 £ per year.

One of the world’s leading financial services companies 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, including credit strategy and model developments to the required quality standards and timescales.
  • 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.
  • 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 recognised financial services leader, where your expertise as a Senior Credit Risk Analyst will be valued and nurtured. With a strong emphasis on employee growth, you will have the opportunity to lead a dynamic team while engaging with high-profile clients and tackling complex analytical challenges. Our collaborative work culture, combined with a competitive salary and comprehensive benefits package, makes this an exceptional place for professionals seeking meaningful and rewarding careers in the heart of the financial sector.
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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 regression and machine learning methods. Be prepared to discuss how you've applied these techniques in past projects, as this role requires a strong technical foundation to solve complex business problems.

✨Tip Number 3

Network with professionals in the credit risk and analytics fields. Engaging with industry peers can provide insights into current trends and challenges, which you can leverage in conversations with potential employers to showcase your proactive approach and industry knowledge.

✨Tip Number 4

Prepare to demonstrate your leadership skills by discussing your experience managing teams and projects. Highlight specific instances where you've successfully led a team through analytical challenges, as this role involves leading a small team of analysts.

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 concepts
Understanding of the regulatory landscape in financial services
Ability to develop compelling proposals
Strong analytical and problem-solving skills
Experience in consultancy within a big data environment
Familiarity with cloud platforms such as GCP or AWS
Ability to engage proactively with clients
Deep knowledge of industry-specific challenges and opportunities

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 statistical techniques you've applied. Use keywords from the job description to ensure your application stands out.

Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of the financial services industry and how your skills can address the challenges mentioned in the job description. Highlight your innovative mindset and experience in leading teams.

Showcase Your Technical Skills: Provide specific examples of how you've used data mining tools and statistical techniques in previous roles. Mention any projects where you successfully presented complex data analyses to stakeholders, especially at the C-Suite level.

Prepare for Interviews: Be ready to discuss your experience with CRA data and how you've leveraged it to deliver business benefits. Prepare to explain your approach to client engagement and how you manage multiple analytics projects simultaneously.

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.

✨Demonstrate Your Leadership Experience

Since the role involves leading a small team of analysts, share examples of your leadership style and how you've successfully managed teams in the past. Discuss any challenges you faced and how you overcame them.

✨Understand the Regulatory Landscape

Familiarise yourself with the regulatory environment relevant to the financial services industry. Be ready to discuss how this knowledge can impact your work and the solutions you propose to clients.

✨Prepare for Client Engagement Scenarios

Think about how you would approach client engagement and partnership development. Prepare examples of how you've built relationships with stakeholders and how you’ve tailored solutions to meet their specific needs.

Senior Credit Risk Analyst - Modelling / CRA Data
Ventula Consulting
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