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For Companies At a Glance
- Tasks: Engage with clients, develop credit strategies, and mentor analysts in a dynamic consultancy role.
- Company: Join a global leader in data analytics, helping businesses make smarter lending decisions.
- Benefits: Enjoy a competitive salary, private healthcare, life insurance, and enhanced leave options.
- Why this job: Be part of impactful projects that shape industries and improve decision-making through data insights.
- Qualifications: 6+ years in credit risk or analytics, strong Python and SQL skills, and excellent communication abilities.
- Other info: This is a strategic hire for a key team working with diverse sectors.
The predicted salary is between 60000 - 80000 £ per year.
Join a leading credit data and analytics provider as a Credit Risk Consultant, working on high-impact, client-facing analytical projects across a variety of industries. This is a key strategic hire for a team that partners directly with financial services, telecoms, and other sectors to optimise data-led decision making.
Join a global data and analytics company that enables businesses to make smarter lending decisions using powerful data insights. Their analytics team partners directly with clients to develop models, scorecards, and data strategies that improve commercial outcomes.
As a Consultant, your day-to-day responsibilities include but are not limited to:
- Engage proactively with clients to understand business models, challenges, and data needs.
- Work in consultancy projects such as credit strategy, scorecard development, and model building.
- Supervise and mentor a small team of analysts.
- Apply statistical and machine learning techniques such as regression, decision trees, CHAID, clustering.
- Use SQL and Python to prepare data and build robust solutions.
- Understand and navigate regulatory environments affecting clients.
Skills & Experience
- 6+ years' experience in credit risk, modelling, or analytical consultancy.
- Strong Python and SQL skills in a credit analytics environment.
- Proven experience using credit bureau data (Equifax, Experian, TransUnion).
- Excellent communication and stakeholder management skills.
The Benefits
- £70k - £80k salary
- Private Healthcare
- Life Insurance
- Enhanced maternity & sick leave
- Income Protection
How to Apply
Please register your interest by sending your CV to Dominic through the 'Apply' link.
Credit Risk Consultant employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in credit risk analytics. Understanding current methodologies and technologies, especially in Python and SQL, will help you stand out during interviews.
✨Tip Number 2
Network with professionals in the credit risk field. Attend industry events or webinars to connect with potential colleagues and learn more about the challenges they face, which can give you valuable insights for your application.
✨Tip Number 3
Prepare to discuss specific projects where you've applied statistical and machine learning techniques. Be ready to explain your thought process and the impact of your work on business outcomes, as this will demonstrate your hands-on experience.
✨Tip Number 4
Research the company’s clients and their industries. Understanding their business models and data needs will allow you to tailor your discussions and show how you can add value as a Credit Risk Consultant.
We think you need these skills to ace Credit Risk Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in credit risk, modelling, and analytical consultancy. Emphasise your strong Python and SQL skills, as well as any experience with credit bureau data.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Mention specific projects or experiences that demonstrate your ability to engage with clients and apply statistical techniques.
Highlight Communication Skills: Since excellent communication and stakeholder management skills are crucial for this role, provide examples in your application that illustrate how you've successfully managed client relationships or led teams.
Showcase Technical Proficiency: In your application, detail your experience with SQL and Python, particularly in the context of credit analytics. Include any specific projects where you applied these skills to achieve positive outcomes.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Analytical Skills
As a Credit Risk Consultant, you'll need to demonstrate your expertise in statistical and machine learning techniques. Be prepared to discuss specific projects where you've applied these skills, particularly using Python and SQL.
✨Understand the Client's Business
Research the industries the company serves, such as financial services and telecoms. During the interview, show that you understand their business models and challenges, and be ready to discuss how your experience can help address these.
✨Highlight Your Communication Skills
Excellent communication is key in this role. Prepare examples of how you've effectively communicated complex data insights to stakeholders or clients, ensuring they understood the implications for their business decisions.
✨Prepare for Technical Questions
Expect technical questions related to credit risk modelling and data strategies. Brush up on your knowledge of credit bureau data and be ready to explain how you've used it in past projects to optimise decision-making.
