Quantitative Analyst (VN3223)

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/

Risk Quantitative Analytics
The Risk Quantitative Analytics team provides quantitative risk expertise across the Group and is responsible for the Group’s Model Risk Management Framework. The team supports the assessment, development, and enhancement of risk methodologies, analytics, controls, and Model Risk Governance. It works with Risk, Front Office, Finance, Technology, and other stakeholders to provide independent quantitative review, challenge, and advisory support across areas such as pricing, valuation, risk measurement, stress testing, model use, and strategic quantitative risk initiatives.

The Quantitative Analyst will continuously be challenged around model risk management, model validation, pricing methodology and quantitative model development of various pricing and risk engines. Will gain exposure to various asset classes with a strong appreciation for the complexities across the various commodity, FX, interest rates, credit, algo trading strategies and equity markets.

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.
• Validate pricing, Market and Credit VaR, Counterparty Credit Risk and margining methodologies and engines across asset classes, including structured and exotic derivative products.
• Ongoing model development for valuation and risk measurement, carrying out reviews and calibration of model parameters to help ensure best practice is followed.
• Develop, maintain and extend historical datasets required for pricing, risk and validation, including time series, price data, implied-volatility surfaces and appropriate proxies. Build & maintain historic data sets across price and implied volatility surfaces to support pricing and risk models.
• Quantitatively analyse new deals and identify embedded risks using Monte Carlo simulation based modelling and other methods.
• Support validation testing using Python and other tools, including benchmark analysis, sensitivity analysis, scenario testing, and out-of-sample review where relevant.
• 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.
• Develop validation and risk-analysis tooling, testing utilities, data workflows and reporting capabilities to improve the efficiency and repeatability of quantitative review.

Skills & Experience:

• Strong quantitative and analytical skills, including, Stochastic Processes, Numerical Analysis, Derivative Pricing, Computational Finance, time series and other statistical analysis.
• Understanding of risk management of futures, options and risk methodologies such as VaR, Stress Testing and Option valuation theory.
• Excellent programming knowledge (Python, C++).
• Ability to design, implement and assess portfolio-level pricing and stress tests, including quantification of valuation and risk impacts.
• Some familiarity in volatility surface construction and calibration.
• Professional in creating well-structured documents using scientific typesetting software i.e. LateX, Lyx, Beamer etc.
• Ability to obtain data from multiple sources, link and analyse the information, perform data integrity checks.
• Masters Degree/PhD in Maths, Theoretical Physics, Quantitative Finance, Financial Economics, Econometrics related field.
• High quality assessment of a wide range of potential complex transactions, carrying out modelling and analysis as necessary, advising upon the value and risk-related quantitative issues associated with the proposals.

Competencies:

• Excellent verbal and written communication skills
• A collaborative team player, approachable, self-efficient and influences a positive work environment
• Demonstrates curiosity
• Resilient in a challenging, fast-paced environment
• Ability to take a high level of responsibility in a fast pace and high-volume environment
• Excels at building relationships, networking and influencing others
• Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness

If you’re forging a career in this area and are looking for your next step, get in touch!
Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.
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