Front Office Cross Asset Quant Analyst

JR United Kingdom; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Front Office Cross Asset Quant Analyst to join their dynamic team in London. This junior to mid-level role focuses on leveraging technology, including programming skills in Python and C++, to automate tasks and ensure compliance with regulations. You will work on diverse financial products, from interest rate swaps to FX options, while collaborating with various teams. This is a fantastic opportunity for someone with a strong analytical background and a passion for finance to contribute to innovative projects in a fast-paced environment.

Qualifications

• Proficiency in Python and C++ programming languages.
• Understanding of pricing and calibration of financial models.

Responsibilities

• Assist in implementing remediation plans for model compliance.
• Document and test models within the QAD library.

Skills

Python

C++

External APIs

Financial Products Knowledge

Mathematics/Science Degree

Logical Thinking

Communication Skills

Education

Master's Degree in Mathematics or Science

Tools

Murex Trading Platform

Job description

Social network you want to login/join with:

Front Office Cross Asset Quant Analyst, London

Client:

Morgan McKinley

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

4

Posted:

28.04.2025

Expiry Date:

12.06.2025

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 to join the team. The focus in this role leans towards a quant who can leverage technology (possibly including AI) to automate tasks. The initial focus will be on automating model performance monitoring and complying with recent SS1/23 regulations. The role also involves supporting day-to-day desk quant tasks, including maintaining and debugging the in-house library via Excel and vendor systems. We support GM’s third-party trading platforms.

What you’ll be doing

• Assist in devising and implementing remediation plans for GM in-scope models to ensure SS1/23 compliance.
• Discuss, formulate, validate, and propose new products, curves, and models inspired by GM, and present findings to the internal risk department.
• Document and test models within the QAD library and third-party vendor models.

What you’ll need to be successful

• Proficiency in programming languages such as Python and C++, and experience working with external APIs.
• Understanding of pricing, calibration of models, curve stripping, and pricing of basic financial products.
• Knowledge of financial (primarily derivative) products, especially interest rate swaps, FX options, credit default swaps, and commodity swaps.
• Ability to learn new trading systems and understand their behavior.
• A mathematics or science-based degree, preferably at the Master’s level.
• Experience with the Murex trading platform is a plus but not required.
• Strong logical thinking, diligence, and good communication skills with FO, IT, Risk, and project teams.