At a Glance
- Tasks: Lead data product strategy for trading and risk solutions, defining key data contracts and onboarding processes.
- Company: Join Shell Energy, a leader in energy solutions with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Shape the future of data in trading and risk while making a significant impact.
- Qualifications: Experience in data product management and strong understanding of trading and risk domains.
Shell Energy is seeking a Lead Data Product Manager in London to own the data product strategy and onboarding for trading, risk, finance and operations. You will define target state, data contracts, schemas and SLAs, and industrialise onboarding of sources such as ETRM/Endur, Trayport, market data, and SAP.
Partner with IDT to ensure Azure data platform designs are fit for purpose, with clear ownership of business design and engineering delivery.
#J-18808-LjbffrData Product Lead for Trading & Risk Solutions employer: Oman Shell
As a Project Delivery Manager in the Crude Trading sector, you will thrive in a dynamic and inclusive environment that prioritises personal growth and work-life balance. With access to advanced technology and a commitment to continuous improvement, you'll collaborate with experienced colleagues to drive impactful projects that align with our ambitious growth agenda. Join us to make a meaningful contribution while enjoying a competitive salary and extensive training opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Lead for Trading & Risk Solutions
✨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 Oman Shell!
✨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 Data Product Lead for Trading & Risk Solutions at Oman Shell.
✨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 Oman Shell.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Lead for Trading & Risk Solutions at Oman Shell, 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!
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 Oman Shell, 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 Oman Shell. 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 Oman Shell
✨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 Oman Shell!
✨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.
