At a Glance
- Tasks: Analyse market data and support trading systems using Python and SQL.
- Company: Exciting FinTech start-up backed by a leading Hedge Fund.
- Benefits: Competitive salary, bonus, healthcare, generous pension, and 25 days holiday.
- Other info: Collaborative culture with social events and flexible working hours.
- Why this job: Join a dynamic team and make an impact in the financial sector.
- Qualifications: 1st class degree in Computer Science and experience in market data roles.
The predicted salary is between 120000 - 120000 £ per year.
Market Data Analyst (Python SQL) Newcastle onsite to 120k Are you a Market Data Analyst with a strong understanding of financial data platforms and a passion for solving complex problems?You could be progressing your career at a well funded Fin Tech start-up, backed by an established Hedge Fund, where you'll play a key role in building and supporting the market data services that underpin sophisticated trading and investment systems.
As a Market Data Analyst, you'll become the subject matter expert for market data across multiple asset classes, working closely with traders, technologists and quantitative teams to ensure the timely delivery, integrity and optimisation of critical financial data.
Your work will span everything from supporting enterprise market data platforms such as Bloomberg to delivering automation, analytics and strategic projects using Python and SQL.
Location: You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours 0900-1800 with some flexibility.
The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in (onsite showers available!).
About you: You have an outstanding record of academic achievement - 1.1, first class degree in Computer Science (or closely related discipline) from a top tier university (i. e.
Russel Group or top 100 global university), backed by A grades at A-level You have commercial experience in a Market Data role within a Hedge Fund, Investment Bank, Asset Manager or Financial Services environment You have a strong knowledge of market data vendors and services such as Bloomberg, Refinitiv or similar platforms You have strong Python and SQL programming skills, with experience automating processes and analysing financial data You have excellent analytical and problem solving abilities with a keen eye for data quality and accuracy You're collaborative with excellent communication skills, comfortable working closely with traders, investment professionals and technology teams What's in it for you: As a Market Data Analyst you will earn a competitive package: Salary to 120k Bonus25 days holiday Bupa healthcare Generous pension contribution Continuous career development opportunities Social team atmosphere with a range of events and early finish for drinks on Fridays Apply now to find out more about this Market Data Analyst (Python SQL) opportunity.
Customer Data Analyst (SQL) in Newcastle upon Tyne employer: Client Server
Client Server is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With competitive salaries, comprehensive benefits including life assurance and a wellness package, and the flexibility to work from home, employees are empowered to thrive both personally and professionally. Join a highly profitable Hedge Fund where your skills will be valued, and you will have ample opportunities for career progression in a senior role.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Data Analyst (SQL) in Newcastle upon Tyne
✨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 Client Server!
✨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 Customer Data Analyst (SQL) at Client Server.
✨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 Client Server.
✨Apply Directly through Our Website
When you find a suitable opening like Customer Data Analyst (SQL) at Client Server, 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 Customer Data Analyst (SQL) in Newcastle upon Tyne
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 Client Server, 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 Client Server. 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 Client Server
✨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 Client Server!
✨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.
