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- Tasks: Lead a team in delivering technical analytics projects using Credit Reference Agency data.
- Company: Join a global financial services leader focused on innovative data solutions.
- Benefits: Enjoy a competitive salary, hybrid work model, and excellent corporate perks.
- Why this job: Be at the forefront of credit strategy and model development while engaging with clients.
- Qualifications: Experience with Credit Bureau data, Python, SQL, and strong communication skills required.
- Other info: Permanent role with opportunities for growth and exposure to machine learning technologies.
The predicted salary is between 48000 - 64000 £ 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.
- 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 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.
- 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 £80,000 plus excellent benefits. In terms of working structure, this is hybrid with 3 days per week in our clients Central London office.
Python Credit Data Analytics Consultant (CRA/Scorecard Modeling) - £80,000 - Hybrid employer: Ventula Consulting
Contact Detail:
Ventula Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Credit Data Analytics Consultant (CRA/Scorecard Modeling) - £80,000 - Hybrid
✨Tip Number 1
Familiarise yourself with the specific Credit Reference Agency data that the role focuses on. Understanding the nuances of this data will not only help you in discussions but also demonstrate your commitment and expertise during interviews.
✨Tip Number 2
Brush up on your Python and SQL skills, particularly in the context of credit risk modelling. Being able to discuss your previous projects or experiences using these languages will set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your communication skills by practising how you would present complex data findings to both technical and non-technical stakeholders. This is crucial for a client-facing role, so consider mock presentations to refine your delivery.
✨Tip Number 4
Stay updated on the latest trends in machine learning and cloud services, as these are desirable skills for the position. Being knowledgeable about these technologies can give you an edge and show your enthusiasm for continuous learning.
We think you need these skills to ace Python Credit Data Analytics Consultant (CRA/Scorecard Modeling) - £80,000 - Hybrid
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 data modelling.
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 Projects: If you have experience with machine learning tools or cloud services, include these in your application. Provide brief descriptions of how you've applied these technologies in previous roles, particularly in relation to credit strategy and model development.
Prepare for Interviews: Be ready to discuss your technical skills in detail, especially your experience with statistical techniques and data solutions. Prepare examples of how you've engaged with clients and navigated regulatory landscapes in past projects.
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 developed credit risk models or worked with Credit Reference Agency data, as this will demonstrate your technical expertise.
✨Understand the Client's Needs
Research the company and its clients before the interview. Be ready to discuss how you would approach understanding their regulatory landscapes and how your solutions can meet their specific requirements.
✨Prepare for Stakeholder Engagement
Since this role involves presenting to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of examples where you've successfully communicated results or proposals in previous roles.
✨Demonstrate Leadership Qualities
As you'll be leading a small team, be ready to share your leadership experiences. Discuss how you've managed projects, motivated team members, and ensured successful outcomes in past roles.
