At a Glance
- Tasks: Analyse and visualise complex datasets using advanced Excel and Power BI.
- Company: Join a dynamic start-up hedge fund with a collaborative culture.
- Benefits: Competitive salary, bonuses, pension, healthcare, and growth opportunities.
- Other info: 5 days in-office role with direct interaction with senior stakeholders.
- Why this job: Shape the data infrastructure of a rapidly growing hedge fund and make an impact.
- Qualifications: Strong skills in advanced Excel and Power BI; coding experience is a plus.
The predicted salary is between 40000 - 80000 £ per year.
Martis Search is partnering with a boutique, multi-asset class start-up Hedge Fund to appoint a permanent Hedge Fund Data Analyst. This is an exceptional opportunity to join a dynamic, rapidly growing firm and play a key role in shaping its data infrastructure and reporting capabilities.
Reporting directly to the COO, this is a broad and hands-on role working across a wide range of datasets, including Fund Data, Performance Data, Investment Data, Compliance Data, and Operations Data. Although the firm uses high-end, off-the-shelf technology solutions, many teams across London and New York still rely on complex Excel spreadsheets. The successful candidate will help automate and streamline these processes using advanced Excel, Power BI, and ideally coding/Macros, with a focus on reducing manual updates and improving data accuracy.
You will work with complex, interconnected spreadsheets used by multiple stakeholders across the business. You must be highly technical, data-driven, and confident handling large and sophisticated datasets. The role also includes a strong emphasis on data visualisation and management information (MI) reporting. You may produce reporting and dashboards for Fund Managers, the COO, Compliance, Operations, external investors, and prospective clients. This may include internal MI, Power BI dashboards, Excel reporting, performance data, and client pitch materials.
This is a genuinely wide-ranging Data Analyst role offering direct interaction with senior stakeholders and exposure across the entire Hedge Fund.
Who they are looking for:
- Strong advanced Excel and advanced Power BI skills are essential.
- 2024/2025 graduates with no Hedge Fund experience but with strong Excel and Power BI skills (full training provided).
- Graduates with 1–2 years’ experience in a Hedge Fund, Asset Manager, or Investment Bank in a data-focused role.
- Non-graduates with strong technical skills (Excel/Power BI) and an interest in learning Hedge Fund operations.
- Candidates from a Data Analyst or technology-focused background looking to transition into the Hedge Fund industry.
- Experienced Data Analysts from Hedge Funds, Asset Management, or Investment Banking.
The COO is looking for someone who genuinely enjoys working with complex datasets and analytical tools. This is not intended as a short-term path into a front-office investment role. Experience with Python or SQL is highly desirable.
As a start-up environment, the role is 5 days per week in the office, and you must be comfortable working independently and taking initiative on data projects.
Salary £50,000 pa - £100,000 pa dependent upon experience, plus a very good bonus, pension, healthcare etc.
Locations
Hedge Fund Data Analyst – Advanced Excel & Power BI (Start-Up Hedge Fund) in City of London, London employer: Martis Search
Joining this start-up Hedge Fund as a Hedge Fund Data Analyst offers an exciting opportunity to be part of a dynamic and rapidly growing firm where your contributions will directly shape the data infrastructure. With a strong emphasis on employee growth, you will receive comprehensive training and have the chance to work closely with senior stakeholders, enhancing your skills in advanced Excel and Power BI while enjoying a collaborative and innovative work culture. Located in a vibrant financial hub, the firm provides competitive salaries, generous bonuses, and excellent benefits, making it an attractive employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Hedge Fund Data Analyst – Advanced Excel & Power BI (Start-Up Hedge Fund) in City of London, London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Hedge Fund Data Analyst – Advanced Excel & Power BI (Start-Up Hedge Fund) in City of London, 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 Martis Search, 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 Martis Search. 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 Martis Search
✨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 Martis Search!
✨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.