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- Tasks: Lead a team in delivering technical analytics projects using credit data.
- Company: Join a global financial services leader focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, hybrid work model, and excellent perks.
- Why this job: Make an impact with data while developing your skills in a dynamic environment.
- Qualifications: Experience with credit data modelling, Python, SQL, and strong communication skills required.
- Other info: Permanent role with opportunities for growth and learning in a collaborative setting.
The predicted salary is between 54000 - 126000 £ per year.
Global Financial services client now requires a Data & Analytics Consultant to lead a small team and execute technical analytics and consultancy projects, designing and developing complex modelling assignments using our clients Credit Reference Agency data. This will be a client facing role, creating new proposals to win new analytics projects and ensuring proactive client engagement throughout the entire lifecycle.
Key responsibilities:
- Responsible for delivering technical analytics projects leveraging CRA data assets. This will center around credit strategy and model development according to client requirements.
- The application of data tools and programming languages such as Python on SQL to prepare data and develop solutions for their clients.
- Present proposals, statistics and results to technical and non-technical stakeholders.
- Work with clients to understand their regulatory landscapes ensuring they receive the most applicable data solutions.
Key Requirements:
- Strong exposure to Credit Bureau Agency/Credit Reference Agency data in a modelling environment.
- Extensive hands-on experience developing credit risk/data models using languages such as Python and SQL.
- Strong understanding of credit scorecard/modelling using Python or SAS.
- Strong technical expertise with the ability to utilise statistical techniques to solve business problems.
- Excellent communication skills with the ability to lead projects, a team and client presentations.
Desirable:
- Any experience with Machine learning tools/technologies and Cloud services (AWS, GCP).
This is a permanent opportunity which provides a base salary of up to £90,000 plus excellent benefits. In terms of working structure, this is hybrid with 3 days per week in our clients Central London office.
Data & Analytics Consultant - Credit Risk - £90,000- Hybrid (London) employer: Ventula Consulting
Contact Detail:
Ventula Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Consultant - Credit Risk - £90,000- Hybrid (London)
✨Tip Number 1
Familiarise yourself with the latest trends in credit risk analytics and modelling. Being well-versed in current methodologies will not only boost your confidence but also impress potential employers during discussions.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work with Credit Reference Agency data. Attend industry events or webinars to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully applied Python and SQL in a credit risk context. Real-world examples will demonstrate your expertise and problem-solving skills to potential employers.
✨Tip Number 4
Showcase your communication skills by practising how to present complex data insights to non-technical stakeholders. This is crucial for the role, so being able to convey your findings clearly will set you apart from other candidates.
We think you need these skills to ace Data & Analytics Consultant - Credit Risk - £90,000- Hybrid (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Credit Reference Agency data and your proficiency in Python and SQL. Use specific examples of projects you've worked on that relate to credit risk and analytics.
Craft a Compelling Cover Letter: In your cover letter, emphasise your client-facing experience and your ability to lead teams. Mention any successful proposals or projects you've delivered, showcasing your communication skills and technical expertise.
Showcase Relevant Skills: Clearly outline your technical skills, especially in statistical techniques and model development. If you have experience with machine learning tools or cloud services, be sure to include that as well.
Prepare for Interviews: Be ready to discuss your previous projects in detail, particularly those involving credit strategy and model development. Prepare to explain complex concepts in a way that non-technical stakeholders can understand.
How to prepare for a job interview at Ventula Consulting
✨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 developed credit risk models or used data tools, as this will demonstrate your hands-on expertise.
✨Understand the Client's Needs
Research the company and its clients beforehand. During the interview, show that you understand their regulatory landscape and how your skills can provide tailored data solutions. This will illustrate your proactive approach to client engagement.
✨Prepare for Presentations
Since this role involves presenting to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare a few examples of how you've successfully communicated results in past projects.
✨Demonstrate Leadership Qualities
As you'll be leading a small team, be ready to discuss your leadership style and experiences. Share examples of how you've managed projects and guided teams to success, which will show your capability to take charge in this role.