At a Glance
- Tasks: Design and enhance secure, scalable data engineering solutions using Java and Python.
- Company: Join J.P. Morgan's innovative Corporate Risk Technology team.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a diverse team driving impactful tech decisions.
- Why this job: Shape the future of risk technology with AI-driven practices and collaborative teams.
- Qualifications: Experience in software engineering and a passion for data solutions.
The predicted salary is between 63000 - 77000 £ per year.
J.P. Morgan is seeking a Lead Software Engineer to shape risk technology in the Data Platform & Strategy team within Corporate Risk Technology. You will design, build, and enhance data engineering solutions that are secure, scalable, and production-ready, collaborating with agile teams to align with business objectives. You will drive AI-assisted engineering practices, ensure code quality, and influence architectural decisions across multiple tech areas while fostering an inclusive, diverse team.
Lead Data Platform Engineer — Java & Python, AI‑Driven in London employer: J.P. MORGAN
At J.P. Morgan, we pride ourselves on being an exceptional employer, particularly for those in the Payments - Merchant Services - Product Manager role in London. Our dynamic work culture fosters innovation and collaboration, offering employees ample opportunities for professional growth and development within a global leader in financial services. With a strong commitment to diversity and inclusion, we ensure that every team member's unique talents contribute to our collective success, making this an ideal environment for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Engineer — Java & Python, AI‑Driven in London
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We think you need these skills to ace Lead Data Platform Engineer — Java & Python, AI‑Driven in London
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!
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Craft a Tailored Cover Letter:For a full-time role at J.P. MORGAN, 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 J.P. MORGAN. 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 J.P. MORGAN
✨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 J.P. MORGAN!
✨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.
