At a Glance
- Tasks: Analyse data, develop AI models, and create innovative solutions for credit risk.
- Company: Join a leading financial institution with a focus on data and analytics.
- 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 technology.
- Qualifications: Numerical degree, experience in data analysis, and proficiency in Python and SQL.
The predicted salary is between 70000 - 90000 £ per year.
AI Consultant - (Credit Risk & Data Science)
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 or 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
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.
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AI Consultant - (Credit Risk & Data Science) employer: Ventula Consulting
As an SAP Finance Data Lead, you will join a dynamic and innovative team at one of the UK's most successful companies, known for its commitment to employee growth and development. With a flexible work culture that allows for 2 days of remote work, you will benefit from a collaborative environment that values diverse perspectives and encourages professional advancement. This role not only offers competitive compensation but also the chance to make a meaningful impact in the life sciences and healthcare sectors, ensuring that your contributions are recognised and valued.
StudySmarter Expert Advice🤫
We think this is how you could land AI Consultant - (Credit Risk & Data Science)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ventula Consulting!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Consultant - (Credit Risk & Data Science) at Ventula Consulting.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ventula Consulting.
✨Apply Directly through Our Website
When you find a suitable opening like AI Consultant - (Credit Risk & Data Science) at Ventula Consulting, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Consultant - (Credit Risk & Data Science)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ventula Consulting, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ventula Consulting. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ventula Consulting
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ventula Consulting!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
