At a Glance
- Tasks: Build data pipelines and AI/ML tools for pricing and risk decisions in banking.
- Company: Major banking client with a focus on innovation in Debt Capital Markets.
- Benefits: Competitive day rate, contract outside IR35, and dynamic work environment.
- Other info: Opportunity to work in a fast-paced environment with potential for career growth.
- Why this job: Join a front office team and make an impact with cutting-edge AI technology.
- Qualifications: Experience in investment banking, advanced SQL, and AI/ML exposure required.
I’m working with a major banking client that’s hiring an AI/Data Engineer to sit directly within its Debt Capital Markets business. You’ll work alongside the DCM and Syndicate desks, not in a central tech team. The role is contract, outside IR35, with a strong day rate. London based, five days a week in the office.
Responsibilities include:
- Build data pipelines and AI/ML tools that support pricing and risk decisions.
What they’re looking for:
- Front office technology experience at an investment bank, hedge fund or asset manager.
- Advanced SQL, data modelling and ETL/ELT pipeline development.
- Experience integrating multiple data sources, with strong data quality and reconciliation.
- AI and machine learning exposure, including generative AI (classification, ranking, model validation and back-testing are all relevant).
- Fixed income, credit, DCM or syndicate experience is a big plus.
Data / AI Engineer | Banking | London | Contract (Outside IR35) employer: Oliver Bernard
At Oliver Bernard, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technologies in a vibrant location. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data / AI Engineer | Banking | London | Contract (Outside IR35)
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We think you need these skills to ace Data / AI Engineer | Banking | London | Contract (Outside IR35)
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 Oliver Bernard, 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 Oliver Bernard. 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 Oliver Bernard
✨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!
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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 Oliver Bernard!
✨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.
