At a Glance
- Tasks: Analyse financial data and enhance internal liquidity models for top-tier clients.
- Company: MEG Analytics, a leading FinTech consultancy with a global reach.
- Benefits: Gain invaluable experience, competitive salary, and work alongside industry experts.
- Other info: Join a dynamic team and unlock amazing career growth opportunities.
- Why this job: Dive into the financial world and boost your CV with real-world projects.
- Qualifications: Background in finance and mathematics, plus skills in C++, Python, or SQL.
The predicted salary is between 60000 - 80000 € per year.
MEG Analytics is a niche FinTech consultancy specializing in Front Arena and Quantitative projects. With our 30+ consultants, we have acquired an impressive list of clients, including top tier investment banks in the UK, DACH, Asia and Africa, as well as some of the biggest hedge funds in the UK. Headquartered in London, we service clients globally either with tactical local resources or with consultants from our Near‑Shore delivery centre in Eastern Europe where we have internally trained and honed consultants of varying seniorities.
Our client was established in the mid – 1800s and quickly established branches in Asia and London, where they are headquartered to this day. Since those early beginnings, they have expanded to a global entity with over 200,000 employees and almost 600 billion USD AUM. They are in the process of refactoring and extending their internal liquidity model, which will cover cross asset and gain you massive exposure to the workings of the financial world with one of the biggest clients in the world.
You will be working with the Product Control team covering PnL, Quantitative Analytics and Development where you will be involved in Internal Model review, bug fixes, monthly and quarterly reports as well as improvements of the Internal Models.
The ideal candidate has a background in finance and mathematics, with a deep understanding of quantitative modelling and knowledge of or exposure to as many instruments and asset classes as possible. Preferably at least 3 years experience. Fluent English is required to understand the requirements and to provide feedback as well as communicate efficiently with the team.
On the technical side, you need to know at least one or two of: C++, Python and SQL. We are looking for at least two resources at this point in time and this project will provide great experience to build your CV, working with some highly experienced and skilled consultants.
Quantitative Analyst in London employer: MEG Analytics Ltd
MEG Analytics is an exceptional employer, offering a dynamic work environment in the heart of London, where innovation meets expertise in the FinTech sector. With a strong focus on employee development, we provide ample opportunities for growth through hands-on experience with top-tier clients and exposure to cutting-edge quantitative projects. Our collaborative culture fosters knowledge sharing among our talented consultants, ensuring that every team member can thrive and contribute meaningfully to impactful financial solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at MEG Analytics or similar firms. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your quantitative analysis abilities. This could be a personal project or something from your previous work that demonstrates your expertise in C++, Python, or SQL.
✨Tip Number 3
Ace the interview! Research common interview questions for quantitative analysts and practice your answers. Be ready to discuss your experience with financial models and how you approach problem-solving in a quantitative context.
✨Tip Number 4
Apply through our website! We’ve got loads of resources to help you prepare for your application and interviews. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Quantitative Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience in finance and mathematics, and don’t forget to mention any relevant projects or tools you've used, like C++, Python, or SQL. We want to see how your skills match 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 quantitative analysis and how your background makes you a great fit for our team. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills:Since this role involves working with various technical tools, make sure to showcase your proficiency in C++, Python, and SQL. If you've worked on specific projects using these languages, mention them! We’re keen to see your hands-on experience.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at MEG Analytics Ltd
✨Know Your Numbers
As a Quantitative Analyst, you’ll need to demonstrate your understanding of finance and mathematics. Brush up on key concepts and be ready to discuss quantitative models you've worked on. Prepare to explain your thought process and the impact of your work on previous projects.
✨Showcase Your Technical Skills
Make sure you’re comfortable discussing your experience with C++, Python, and SQL. Be prepared to answer technical questions or even solve problems on the spot. Practising coding challenges related to financial modelling can give you an edge.
✨Understand the Company and Its Clients
Research MEG Analytics and their client base. Knowing about their projects, especially in Front Arena and liquidity models, will show your genuine interest. Tailor your answers to reflect how your skills align with their needs and how you can contribute to their success.
✨Communicate Clearly and Confidently
Fluent English is crucial for this role, so practice articulating your thoughts clearly. During the interview, focus on being concise yet thorough in your responses. Good communication will help you stand out, especially when discussing complex topics.
