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For Companies At a Glance
- Tasks: Lead analytics projects, develop complex models, and engage with clients to solve 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, plus hybrid work options.
- Why this job: Be part of a dynamic team shaping data-driven solutions in a globally recognised company.
- Qualifications: Experience in Python, SQL, and credit risk; strong communication and leadership skills required.
- Other info: Work three days a week in the office, collaborating with industry leaders.
The predicted salary is between 60000 - 84000 £ per year.
Data & Analytics Consultant – Modelling / CRA Data
One of world’s leading financial services companies (products used by 93% of Fortune 500) 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. This includes credit strategy and model developments to the required quality standards and timescales. This will cover all stages, including sample design, retrospective analysis, performance analysis, population split analysis and reject analysis.
- 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
- You possess 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 das a week in the office.
This is a wonderful opportunity to work for one of the worlds leading financial data companies who are known around the world.
Credit Risk Analyst – Modelling / CRA Data employer: Ventula Consulting
Contact Detail:
Ventula Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analyst – Modelling / CRA Data
✨Tip Number 1
Familiarise yourself with the specific CRA data and its applications in credit risk analysis. Understanding how this data is used in modelling will give you an edge during interviews, as you can demonstrate your knowledge of industry practices.
✨Tip Number 2
Brush up on your Python and SQL skills, particularly in the context of credit risk. Being able to discuss your experience with these programming languages confidently will show that you're ready to tackle the technical aspects of the role.
✨Tip Number 3
Prepare to discuss your experience in leading teams and managing projects. Highlight specific examples where you've successfully guided analysts or delivered complex projects, as leadership is a key aspect of this role.
✨Tip Number 4
Research the regulatory landscape relevant to the financial services industry. Being knowledgeable about regulations will not only help you in interviews but also demonstrate your commitment to understanding the environment in which the company operates.
We think you need these skills to ace Credit Risk Analyst – Modelling / CRA Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in programming languages like Python and SQL, as well as your background in credit risk environments. Emphasise any previous roles where you led teams or managed projects.
Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of the financial services industry and the specific challenges faced by clients. Mention your innovative mindset and how you've previously identified opportunities that leveraged data and analytics.
Showcase Technical Skills: Clearly outline your technical expertise in statistical techniques and data mining tools. Provide examples of how you've applied these skills to solve business problems, particularly in a consultancy context.
Prepare for Communication: Since strong communication skills are essential, prepare to discuss how you've effectively presented complex statistical techniques to both technical and non-technical audiences. Think of specific instances where your communication made a significant impact.
How to prepare for a job interview at Ventula Consulting
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and SQL, as these are crucial for the role. Be prepared to discuss specific projects where you've applied these programming languages in a credit risk environment.
✨Demonstrate Your Analytical Mindset
Prepare examples of how you've used statistical techniques and machine learning to solve business problems. Discuss any innovative solutions you've developed that have delivered tangible benefits.
✨Communicate Effectively
Practice explaining complex statistical concepts in simple terms. You'll need to present to both technical and non-technical audiences, so being able to adapt your communication style is key.
✨Understand the Regulatory Landscape
Familiarise yourself with the regulatory environment relevant to the financial services industry. Being able to discuss how regulations impact data usage and analytics will demonstrate your industry knowledge.
