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- Tasks: Engage with clients, develop credit strategies, and mentor analysts in a dynamic consultancy role.
- Company: Join a global leader in data analytics, transforming lending decisions with powerful insights.
- Benefits: Enjoy a competitive salary, private healthcare, life insurance, and enhanced leave options.
- Why this job: Make a real impact in various industries while working with cutting-edge data and analytics.
- Qualifications: 6+ years in credit risk or analytics, strong Python and SQL skills, and excellent communication.
- Other info: This is a strategic hire for a key team, offering growth and mentorship opportunities.
The predicted salary is between 60000 - 84000 £ 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.
Benefits:
- £70k - £80k salary
- Private Healthcare
- Life Insurance
- Enhanced maternity & sick leave
- Income Protection
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 company culture at StudySmarter.
✨Tip Number 3
Prepare to discuss specific projects where you've applied statistical techniques and machine learning. Be ready to explain your thought process and the impact of your work on business outcomes.
✨Tip Number 4
Research the regulatory environments relevant to the sectors you'll be working with. Being knowledgeable about compliance issues can demonstrate your readiness to engage with clients effectively.
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 Key Skills: In your application, clearly outline your communication and stakeholder management skills. These are crucial for a Credit Risk Consultant, so provide examples of how you've successfully managed client relationships in the past.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is essential in this role.
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 you can help optimise their data-led decision making.
✨Highlight Your Communication Skills
Excellent communication is key in this role. Prepare examples of how you've effectively managed stakeholders or communicated complex analytical concepts to non-technical audiences. This will demonstrate your ability to engage proactively with clients.
✨Prepare for Technical Questions
Expect technical questions related to credit risk modelling and the use of credit bureau data. Brush up on your knowledge of regression, decision trees, and other relevant techniques, and be ready to explain how you've used them in past roles.
