Front Office Cross Asset Quant Analyst

Morgan McKinley; London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading company in the financial sector is seeking a junior to mid-level Quantitative Analyst to join their Global Markets division. This role focuses on automating model performance monitoring and supporting desk quant tasks. Candidates should have strong programming skills, particularly in Python and C++, and a solid understanding of financial products, especially derivatives. The position offers an opportunity to work with a small, dynamic team and contribute to compliance initiatives while enhancing technical capabilities.

Qualifications

• Good knowledge of programming languages and experience with external APIs.
• Understanding of pricing and calibration of financial models.

Responsibilities

• Assist in devising a remediation plan for SS1/23 compliance.
• Document and test models within the QAD library.

Skills

Python

C++

APIs

Logical Thinking

Communication

Education

Master’s Degree in Maths or Science

Tools

Murex

Job description

The quantitative Analysis Division is the front office quant team within the Global Markets (GM) division. We are a small team but cover a broad range of products spanning several asset classes including Fixed Income, Credit, and Commodities.

This is a junior to mid-level position. The focus in this role leans towards a quant who can leverage technology (possibly including AI) to automate several tasks. The initial focus will mostly be on the automation of model performance monitoring and other requirements introduced by the recent deployment of SS1/23 regulations. The role also involves supporting day-to-day “desk quant” tasks, which include supporting, writing, and debugging the in-house library via Excel and vendor systems. We also support all GM’s third-party trading platforms.

What you’ll be doing

1. Assist in devising a remediation plan and implementing all GM in-scope models to ensure SS1/23 compliance.
2. Discuss, formulate, validate, and propose new products, curves, or models inspired by GM, and present these to our internal risk department.
3. Document and test models within the QAD library and third-party vendor models.

What you’ll need to be successful

1. A good knowledge of programming languages (Python, C++) and experience working with external APIs.
2. An understanding of pricing, calibration of models, curve stripping, and pricing basic financial products.
3. An understanding of financial (mostly derivative) products, particularly interest rate swaps, FX options, credit default swaps, and commodity swaps.
4. The ability to learn new trading systems and intelligently infer system behavior.
5. A maths or science-based degree, preferably at the Master’s level.
6. Experience with the Murex trading platform is a plus but not required.
7. Logical, diligent, and able to communicate effectively with FO, IT, Risk, and project teams.