About Marex

Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world’s major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas.

For more information visit https://www.marex.com/

The Quantitative Developer / Model Validator

The Quantitative Developer / Model Validator will support the independent validation and review of algorithmic trading models, pricing and risk engines, and related quantitative tools across the firm. A core part of the role will involve reading, understanding, and challenging production-quality C++ implementation of quantitative trading models and related analytics libraries. The role is particularly relevant for systematic and algorithmic trading strategies, including statistical arbitrage and model-driven trading logic, and requires the ability to bridge quantitative analysis with implementation review, data analysis, and software-oriented validation work.

Responsibilities:

• Perform independent validation of algorithmic trading models, pricing models, and risk engines, with particular focus on methodology, implementation, controls, and intended use.
• Review and challenge model implementation in C++, including ability to understand core logic, identify implementation weaknesses, and assess whether code behaviour is consistent with documented methodology.
• Analyse and validate systematic trading strategies, including statistical arbitrage, relative-value, and model-driven execution logic.
• Assess model assumptions, inputs, parameterisation, calibration, limitations, monitoring, and governance arrangements.
• Support validation testing using Python and other tools, including benchmark analysis, sensitivity analysis, scenario testing, and out-of-sample review where relevant.
• Work with datasets used in model development and validation, including data extraction, cleansing, integrity checks, and preparation of evidence for validation work.
• Contribute to validation of software-heavy quantitative tools and front-office analytics libraries, including review of implementation evidence, model changes, and production behaviour.
• Produce clear and high-quality validation documentation, including technical write-ups in LaTeX where appropriate.
• Support development of validation tooling, testing utilities, and data workflows that improve the efficiency and repeatability of model review.