At a Glance
- Tasks: Engage with clients, lead analytics projects, and develop complex models using CRA data.
- Company: Join a top financial services firm trusted by 93% of Fortune 500 companies.
- Benefits: Enjoy a competitive salary, bonus scheme, and excellent benefits package.
- Why this job: Be part of a dynamic team shaping data-driven solutions in a global 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 70000 - 90000 £ per year.
One of the 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 days a week in the office. This is a wonderful opportunity to work for one of the world's 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'll be able to discuss relevant examples and demonstrate your expertise.
✨Tip Number 2
Brush up on your Python and SQL skills, particularly in the context of credit risk. Being able to showcase your technical abilities through practical examples or even a mini-project can significantly impress potential employers.
✨Tip Number 3
Network with professionals in the financial services sector, especially those who work with data analytics and credit risk. Engaging in conversations about industry trends and challenges can provide valuable insights and may lead to referrals for job opportunities.
✨Tip Number 4
Prepare to discuss your experience in leading teams and managing projects. Highlighting your leadership skills and ability to deliver results under pressure will resonate well with hiring managers looking for someone to take charge of analytics projects.
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 through data analytics.
Showcase Your Technical Skills: Clearly outline your experience with 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 Interviews: Be ready to discuss your experience presenting complex statistical techniques to various audiences. Prepare examples that showcase your communication skills and ability to engage with stakeholders at all levels, including C-Suite executives.
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 applied these programming languages, especially in a credit risk context.
✨Demonstrate Your Analytical Mindset
Prepare examples of how you've used statistical techniques and data mining tools to solve business problems. Discuss any innovative solutions you've developed that delivered tangible benefits.
✨Communicate Effectively
Practice explaining complex statistical concepts in simple terms. You may 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 role. Being able to discuss how regulations impact credit risk analysis will demonstrate your industry knowledge and preparedness.