At a Glance
- Tasks: Support traders by deploying Python scripts, SQL queries, and AWS solutions.
- Company: Join a dynamic team at Give A Grad a Go in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make an impact in a highly technical environment with real-time data analysis.
- Qualifications: Strong analytical skills and experience with Python, SQL, and AWS.
Give A Grad a Go in London seeks a Senior Systems Analyst to join the operations team. You’ll work closely with traders and senior management, deploying Python scripts, SQL queries and AWS solutions to support a highly technical environment.
The role involves maintaining its in-house trade and price curves database and the ETRM system, with a focus on accuracy, performance and timely reporting. A strong analytical background is essential.
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Trading Ops Analyst — Python, SQL & AWS employer: Give a Grad a Go
As a Graduate Operations Analyst at our London-based hedge fund, you will be part of a dynamic and rewarding work environment that prioritises employee growth and recognition. With a clear progression plan and bonus opportunities, we foster a culture of excellence where your contributions are valued and rewarded. Join us to learn from industry experts and develop your skills in a fast-paced financial services setting, all while enjoying the unique advantages of working in one of the world's leading financial hubs.
StudySmarter Expert Advice🤫
We think this is how you could land Trading Ops Analyst — Python, SQL & AWS
✨Get Involved in Data Science Meetups
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When you find a suitable opening like Trading Ops Analyst — Python, SQL & AWS at Give a Grad a Go, 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 Trading Ops Analyst — Python, SQL & AWS
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 Give a Grad a Go, 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 Give a Grad a Go. 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 Give a Grad a Go
✨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 Give a Grad a Go!
✨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.
