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 and 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.
- Provide internal & external clients with analytical support and project analysis, including answering client queries related to data characteristics, scores and 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 Nottingham. 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 Derby employer: Ventula Consulting
Join a leading financial institution that values innovation and collaboration, offering a dynamic work culture where your analytical skills can thrive. With a competitive salary package, exceptional benefits, and opportunities for career growth, this role in Nottingham allows you to make a significant impact while enjoying a hybrid work model. Embrace the chance to work with cutting-edge AI technologies and contribute to meaningful projects that shape the future of credit risk management.
StudySmarter Expert Advice🤫
We think this is how you could land Credit Risk AI Consultant - (Data & Analytics - CRA / Scorecards) in Derby
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in credit risk or AI. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving Python, SQL, or AI models. Bring your portfolio or examples of your work to the table – it’s all about showcasing what you can do!
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to fit their needs. Research the company’s recent projects or challenges in credit risk and come prepared with ideas on how you can help them tackle those issues.
✨Apply Through Us!
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining the team. Let’s get you that dream job!
We think you need these skills to ace Credit Risk AI Consultant - (Data & Analytics - CRA / Scorecards) in Derby
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly 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 the 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 predictive modelling, make sure to include them in your application. We want to see your creativity and problem-solving skills in action, so don't hold back!
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 the role. 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 data analytics and AI models relevant to credit risk. Familiarise yourself with the latest trends in machine learning and how they apply to financial institutions. This will not only show your expertise but also your genuine interest in the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of past projects where you tackled complex data challenges. Be ready to discuss how you approached these problems, the methodologies you used, and the outcomes. This will demonstrate your analytical prowess and ability to think critically under pressure.
✨Communicate Clearly and Effectively
Practice explaining technical concepts in simple terms. You’ll need to communicate your findings to stakeholders who may not have a technical background. Use storytelling techniques to make your data insights relatable and impactful during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data strategies and future projects. This shows that you’re not just interested in the job, but also in how you can contribute to their goals. It’s a great way to engage with the interviewers and leave a lasting impression.