At a Glance
- Tasks: Analyse market data and collaborate with front office teams to enhance data quality.
- Company: Leading investment firm with a global presence and innovative culture.
- Benefits: Competitive salary, significant bonuses, generous pension, and comprehensive benefits package.
- Other info: Flexible work-from-home options and excellent career growth opportunities.
- Why this job: Make a real impact in financial markets while working with cutting-edge data technologies.
- Qualifications: 2.1 degree in a quantitative field and strong experience in financial services data analysis.
The predicted salary is between 100000 - 100000 £ per year.
Senior Data Analyst London to £100k Are you a Senior Data Analyst with strong financial markets experience looking for a role where you'll work directly with front office teams and influence how data is used across a global investment business?You could be joining a leading investment firm where you'll play a key role in delivering high quality market and reference data that underpins trading, research, risk and compliance.
As a Senior Data Analyst, you'll take ownership of the firm's market data services as part of a small team in conjunction with the teams in New York and Singapore, helping to improve data quality, accuracy and operational efficiency across multiple asset classes.
You'll work closely with Trading, Research, Risk, Compliance and Middle Office teams to understand data requirements, deliver new datasets and support business critical initiatives.
You'll evaluate new data vendors, define requirements for data projects, oversee testing and production releases and act as the technical point of contact for complex data issues.
This is a highly visible role where you'll combine technical expertise with stakeholder management and mentoring, ensuring the firm's market data remains accurate, timely and fit for purpose.
Location / WFH: You'll join colleagues in prestigious Central London offices (with onsite restaurant, gym etc.) with flexibility to work from home once a week.
About you: You have achieved a 2.1 or above in a relevant field e. g.
Data, Mathematics, Statistics, Data Analysis or other quantitative discipline You have strong experience as a Data Analyst within financial services, supporting front office or market data functions You have a good understanding of financial instruments, market data, pricing and time series data You're highly proficient with SQL and querying large datasets You have experience working with trading, research, risk or compliance stakeholders You have excellent analytical and problem solving skills with a strong attention to detail You can manage multiple priorities and communicate effectively with both technical and business users You have experience with market data vendors (e. g.
Bloomberg, Refinitiv, ICE or similar)What's in it for you: As a Senior Data Analyst you will earn a highly competitive salary plus a fully comprehensive benefits package including: Salary to £100k Significant Bonus Generous Pension contribution Life Assurance, Critical Illness cover Childcare vouchers Enhanced Paternity package and Adoption Assistance Charitable fund raising matching and much more Apply now to find out more about this Senior Data Analyst opportunity.#LI-DNI
Senior Data Analyst - Hedge Fund in London 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 Senior Data Analyst - Hedge Fund in London
✨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 Senior Data Analyst - Hedge Fund 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 Senior Data Analyst - Hedge Fund 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 Senior Data Analyst - Hedge Fund 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!
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.
