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 bonus.
- 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: Degree in a numerical field, experience in data analysis, 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 and presentation and visualisation 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 upon 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 world's great finance companies in a very visible and important position with great career development prospects.
Credit Risk AI Consultant - (Data & Analytics - CRA / Scorecards) in London employer: Ventula Consulting
Join one of the world's leading financial institutions as a Credit Risk AI Consultant, where you will thrive in a dynamic work culture that fosters innovation and collaboration. With exceptional career development opportunities, a competitive salary package, and the flexibility of a hybrid working model, this role offers a unique chance to make a significant impact in the field of data analytics while enjoying the vibrant atmosphere of the City of London.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Risk AI Consultant - (Data & Analytics - CRA / Scorecards) in London
✨Network Like a Pro
Get out there and connect with folks in the finance and AI space! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the industry. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just tell them you can code in Python or SQL; show them! Create a portfolio of projects that highlight your data analysis and AI model development skills. Share it on platforms like GitHub or your personal website to make it easy for recruiters to see what you can do.
✨Ace the Interview
Prepare for those interviews by brushing up on common questions related to credit risk and AI. Practice explaining your past projects and how they relate to the role. Remember, it’s not just about your technical skills; they want to see how you think and solve problems!
✨Apply Through Us!
We’ve got your back! Apply through our website to get direct access to opportunities that match your skills. Plus, we’re always here to help you navigate the job search process and land that dream role in credit risk and analytics.
We think you need these skills to ace Credit Risk AI Consultant - (Data & Analytics - CRA / Scorecards) in London
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 Python and cloud-based AI platforms!
Showcase Your Projects:If you've worked on any interesting projects related to credit risk or AI, make sure to include them in your application. We love seeing real-world applications of your skills, so don't hold back on the details!
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 your application and ensures you’re considered for this exciting opportunity with us at StudySmarter!
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. Be ready to discuss your past experiences in data analysis and how you've derived insights from complex datasets.
✨Showcase Your AI Skills
Brush up on your knowledge of AI models and algorithms, especially those relevant to credit risk. Be prepared to talk about specific projects where you've developed or tested AI solutions, and how you utilised platforms like Vertex AI and BQML in your work.
✨Communicate Clearly
Since this role involves communicating results to stakeholders, practice summarising complex analytical findings in a clear and engaging way. Think about how you can visually present your data insights and be ready to explain the business impact of your work.
✨Prepare for Technical Questions
Expect technical questions related to Python, SQL, and machine learning. Brush up on your programming skills and be ready to solve problems on the spot. It might help to review some common coding challenges or case studies related to credit risk analytics.