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Quantitative analyst  –  Alternative Credit - London

Octavius Finance
Greater London
2 weeks ago
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We're partnering with a top-tier buy-side investment firm in London to find aQuantitative analystfor theirAlternative Credit Team. This is a pivotal role for an individual who excels with intricate financial products and aims to significantly influence investment strategies across fixed income and multi-asset classes.

The Opportunity:

As a Quantitative Strategist, you'll be instrumental in quantitative research and strategy formulation, with a particular focus on structured products and various forms of asset-backed financing. You'll collaborate closely with investment teams, building advanced models, analyzing extensive datasets, and contributing to forward-looking investment perspectives. This position also offers the advantage of being part of the wider Investment Insights Group, promoting continuous skill enhancement and exposure to diverse cross-asset initiatives.

Key Responsibilities

Perform in-depth quantitative analysis of structured products to inform fixed income and multi-asset strategies.

Develop investment recommendations using sophisticated mathematical and statistical methods.

Create and maintain financial models in Python, ensuring precise representation of financial scenarios and risks.

Manage and analyze large datasets utilizing AWS and other database tools.

Work alongside technology, risk management, and trading teams to integrate quantitative models into broader business operations.

Support investment decisions by clearly and effectively communicating complex quantitative concepts to various stakeholders.

What We're Looking For

A Bachelor's or Master's degree in a quantitative discipline (, Mathematics, Statistics, Physics, Engineering, Computer Science).

Robust Python programming skills, with proven experience deploying code into production environments.

A solid grasp of structured products and their underlying mechanics.

Strong mathematical and advanced statistical abilities.

Prior experience in coding financial models using Python.

Familiarity with AWS and database management.

Exceptional problem-solving capabilities, including the ability to identify issues and propose effective solutions.

An excellent communicator who can simplify complex information into actionable insights for non-technical audiences.

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