Quantitative Analyst

MEG Analytics Ltd; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

MEG Analytics Ltd. is seeking experienced resources for quantitative analytics projects within the Product Control team. Applicants should have at least 3 years of experience in finance and quantitative modeling, along with proficiency in C++, Python, or SQL.

This role offers flexible working options from home or in London, providing a great opportunity to enhance your CV while collaborating with a skilled team. Fluent English is necessary for effective communication.

Qualifications

• Background in finance and mathematics.
• At least 3 years of experience in quantitative roles.
• Deep understanding of various instruments and asset classes.

Responsibilities

• Work with Product Control team covering PnL and Quantitative Analytics.
• Conduct Internal Model reviews and bug fixes.
• Prepare monthly and quarterly reports.

Skills

Quantitative modeling

C++

Python

SQL

Fluent English

Job description

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 Eurpåe 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 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 working with 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 get you great experience to build your CV, working with some highly experienced and skilled consultants within the bank and within MEG Analytics and you can do it all within the comfort of your own home or in the metropolis that is London.

If this looks like the right role for you, please do not hesitate to reach out with your updated CV and I will be looking forward to discussing this further, thank you!