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- Tasks: Curate and analyse financial data, collaborating with traders for insights and visualisations.
- Company: Dynamic technology consultancy in the finance sector with a vibrant team culture.
- Benefits: Competitive salary up to £80k, bonus, healthcare, generous holiday, and career development.
- Other info: Enjoy a supportive team atmosphere with social events and flexible working hours.
- Why this job: Join a fast-growing company and make an impact in the finance industry with your data skills.
- Qualifications: First-class STEM degree, advanced SQL and Python skills, and a passion for financial markets.
The predicted salary is between 80000 - 80000 £ per year.
Are you a bright, ambitious Data Analyst with a strong interest in financial markets combined with a first class education? You could be joining a scaling Technology Consultancy within the finance division.
As an Investment Data Analyst you'll understand, manage and curate raw data content from various data vendors and the broader finance industry, collaborating with traders and quants on investment desks to provide data insights, analysis and visualisations. You'll help to identify and address data needs and gaps, evaluate data quality to ensure consistency, completeness, and accuracy across all platforms and develop and maintain data dictionaries and other documentation, collaborating with Data Engineers and Technology teams to implement and enhance data systems and processes.
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!), there's a diverse, social team atmosphere with many employees having recently relocated and lots of support available.
About you:
- You have achieved a first class degree in a STEM discipline from a world 100 top ranked / Russel Group university, backed by A*s and As at A-level.
- You have a strong interest and understanding of financial markets, ideally with commercial experience or demonstrated by personal projects.
- You have advanced SQL and Python skills.
- You're familiar with Data Science and / or Machine Learning tools and techniques.
- You have excellent communication skills.
What's in it for you: As an Investment Data Analyst you will earn a competitive package:
- Salary (to £80k, negotiable)
- Bonus
- 25 days holiday
- Bupa healthcare
- Generous pension contribution
- Continuous learning and career development opportunities
- Social team atmosphere with a range of events and early finish for drinks on Fridays
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Investment Data Analyst - Finance in Sunderland employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Analyst - Finance in Sunderland
✨Network Like a Pro
Get out there and connect with people in the finance and data analysis sectors. Attend meetups, webinars, or even local events in Newcastle. You never know who might have a lead on that perfect Investment Data Analyst role!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your SQL and Python skills. Share examples of how you've used these tools in projects or personal work to solve real problems in financial markets.
✨Ask Questions
During interviews or networking chats, don’t be shy about asking questions. Show your interest in the company’s data processes and how they collaborate with traders and quants. This not only demonstrates your enthusiasm but also helps you gauge if it’s the right fit for you.
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us can give you an edge, as we’re always looking for bright minds like yours to join our team in Newcastle.
We think you need these skills to ace Investment Data Analyst - Finance in Sunderland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Investment Data Analyst role. Highlight your SQL and Python skills, and any relevant experience in financial markets. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis in finance and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any personal projects or have commercial experience related to data analysis, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Client Server
✨Know Your Data Inside Out
Before the interview, make sure you’re well-versed in the types of data you'll be working with. Brush up on your SQL and Python skills, and be ready to discuss how you've used them in past projects or experiences. This will show your potential employer that you can hit the ground running.
✨Show Your Passion for Finance
Demonstrate your interest in financial markets by discussing recent trends or news that excite you. If you have personal projects related to finance or data analysis, be sure to mention them. This will help you stand out as someone who is genuinely invested in the field.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and knowledge of data science tools. Practice common SQL queries and Python coding challenges beforehand. Being able to think on your feet during these questions can really impress your interviewers.
✨Communicate Clearly and Confidently
Since excellent communication skills are a must for this role, practice explaining complex data concepts in simple terms. During the interview, be clear and concise in your responses, and don’t hesitate to ask for clarification if you don’t understand a question. This shows that you’re engaged and willing to collaborate.