At a Glance
- Tasks: Analyse data, develop AI models, and create innovative solutions for credit risk.
- Company: Join a leading global financial institution with a focus on innovation.
- Benefits: Competitive salary up to £90K, hybrid work, pension, and bonuses.
- Other info: Great career development opportunities in a dynamic, collaborative environment.
- Why this job: Make an impact in finance by leveraging cutting-edge AI and analytics.
- Qualifications: Numerical degree, experience in data analysis, machine learning, and proficiency in Python.
The predicted salary is between 70000 - 90000 € per year.
I’m helping one of the world’s great financial institutions recruit a Data & Analytics AI Consultant to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. They will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data.
Responsibilities:
- Conduct in-depth analysis of data available to the company and its partners.
- Collaborate with product managers to conduct market research and validate product needs.
- Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML.
- Contribute to the creation of business cases for proposed AI solutions.
- Evaluate the feasibility and potential impact of AI projects.
- Provide technical guidance and support to junior analysts.
- Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning.
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions.
- Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise.
- Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities.
- Lead the development of projects with multiple deliverables, leveraging business and technical expertise.
- Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc., encouraging enhanced solutions.
- Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users.
- Communicate results to external stakeholders and mid-level leadership, able to communicate business impact of work.
Consultants are responsible for providing internal & external clients with analytical support and project analysis. This includes answering client queries related to data characteristics, scores and also involvement in analytical projects, for example, credit strategy development, model development and other bespoke analytics to solve client specific problems.
Qualifications:
- Relevant numerical degree with a 2:1 or above.
- Solid experience in data analysis, machine learning, and AI development.
- Hands-on experience with cloud-based AI platforms and tools.
- Proficiency in programming languages such as Python and SQL.
- Credit Bureau experience & scorecards an advantage.
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of a team.
- Good communication, presentation and visualization skills.
- Strong experience in a related analytical role.
- Proven track record of designing and developing predictive models in real-world applications.
- Experience with model performance evaluation and predictive model optimization for accuracy and efficiency.
- Cloud certification strongly preferred.
- Additional role-based certifications may be required depending on region/BU requirements.
- Experience in programming languages SQL and Python in a credit risk environment.
- An innovative mindset and attention to detail.
This is a hybrid position requiring 3 days in the office and 2 work from home. Office is in the City of London near Bank. Salary is a basic up to £90K + exceptional package, pension, bonus. The salary is a basic between £70-90K depending on experience. This is a fantastic opportunity to work for one of the worlds great finance companies in a very visible and important position with great career development prospects.
Credit Risk AI Consultant - (Data & Analytics - CRA / Scorecards) employer: Ventula Consulting
Join a leading financial institution in the heart of the City of London, where innovation meets opportunity. As a Credit Risk AI Consultant, you'll thrive in a dynamic work culture that values creativity and collaboration, while enjoying exceptional benefits including a competitive salary, pension, and bonus structure. With a strong focus on employee growth and development, this role offers you the chance to make a significant impact in the world of data analytics and AI, all within a supportive environment that encourages professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Risk AI Consultant - (Data & Analytics - CRA / Scorecards)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, AI models, and any relevant work you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, SQL, and AI platforms, as well as how you've tackled complex data challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Credit Risk AI Consultant - (Data & Analytics - CRA / Scorecards)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Credit Risk AI Consultant. Highlight your experience with data analysis, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you a perfect fit. Don't forget to mention your experience with AI models and cloud platforms – we love that stuff!
Showcase Your Projects:If you've worked on any cool projects related to credit risk or AI, make sure to include them in your application. We want to see your hands-on experience and how you've tackled real-world problems using data. It’s all about demonstrating your innovative mindset!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this fantastic opportunity. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Ventula Consulting
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you’ll be working with. Familiarise yourself with common data sources and how they can be combined to derive insights. Being able to discuss specific examples of your past experiences with data analysis will show your expertise.
✨Showcase Your AI Skills
Be prepared to discuss your experience with AI models and algorithms. Bring examples of projects where you've developed or tested AI solutions, especially using platforms like Vertex AI and BQML. Highlight any innovative approaches you've taken to solve complex problems.
✨Communicate Clearly
Since this role involves communicating results to stakeholders, practice explaining complex analytical concepts in simple terms. Use storytelling techniques to convey the impact of your findings. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Prepare for Technical Questions
Expect questions on programming languages like Python and SQL, as well as your understanding of credit risk and scorecards. Brush up on your knowledge of model performance evaluation and predictive model optimisation. Being confident in your technical skills will set you apart from other candidates.