Quantitative Analyst

Invenire Group; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled Quantitative Analyst to enhance their risk management team. This role involves validating complex quantitative models, ensuring compliance with regulatory standards, and collaborating with traders and risk professionals. You will have the opportunity to apply your analytical expertise in a dynamic environment, contributing to the development of robust risk methodologies. If you're passionate about finance and quantitative analysis, this position offers a chance to make a significant impact in a leading commodities firm.

Qualifications

• Strong analytical skills with experience in model validation and quantitative analysis.
• Familiarity with complex options and risk metrics is essential.

Responsibilities

• Validate quantitative models for derivatives pricing and risk management.
• Collaborate with teams to resolve discrepancies and monitor risk.

Skills

Model Validation

Quantitative Analytics

Risk Methodologies

Python

SQL

Risk Metrics (VaR, ES)

Market Risk Sensitivities

Education

Degree in Maths

Degree in Physics

Degree in Engineering

Degree in Computer Science

Tools

Endur

Aspect

RightAngle

Bloomberg

Totem

Job description

Location: London

Job Title: Quantitative Analyst

Our client a global commodities firm are seeking a highly skilled Quantitative Analyst to join their risk management team in London. This role focuses on model validation, quantitative analytics, risk methodologies and risk management. You will be responsible for developing, testing, and validating risk models while working closely with traders, quants, and senior risk professionals.

Key Responsibilities

• Independently assess and validate a broad range of quantitative models used in front office activities, covering derivatives pricing, complex options, structured trades, and the construction of volatility surfaces and forward curves.
• Challenge the robustness of model methodologies by critically analyzing underlying assumptions, input data quality, and performance outcomes to ensure they are aligned with business and regulatory expectations.
• Conduct regular reviews of model documentation, ensuring it is comprehensive, clearly articulated, and aligned with both internal governance frameworks and external regulatory requirements.
• Collaborate with Risk and Middle Office teams to resolve valuation discrepancies, explain P&L attribution, and investigate any inconsistencies in reported risk or profit and loss figures.
• Support daily risk monitoring for complex products such as exotics and options by contributing insights into concentrations and exposures within trading portfolios.
• Highlight and address modelling limitations, proposing enhancements and conducting thorough validation of any model modifications.
• Maintain and update documentation related to current modelling practices, processes, and infrastructure, while contributing to the design and definition of future state architecture.
• Perform ongoing monitoring of model performance and lead periodic revalidation exercises to ensure continued accuracy and relevance.
• Clearly communicate validation outcomes and recommendations to a range of stakeholders including model developers, senior leadership, Market Risk, and Middle Office teams.

Requirements:

• Minimum 2:1 degree in a quantitative or technical discipline such as Maths, Physics, Engineering, or Computer Science.
• Experience in model validation, quantitative analytics, or a related function within a trading house, investment bank or other financial institutions.
• Strong understanding of risk metrics, including VaR, ES, liquidity and funding risk.
• Familiarity with pricing and behaviour of complex options (e.g., American, Asian, Quanto, Barrier, Chooser, Spread).
• Good grasp of market risk sensitivities, especially around interest rate and FX exposures (PV01, CS01, DV01).
• Awareness of regulatory frameworks (Basel III, IFRS 9, CCAR, etc.) is an advantage.
• Skilled in Python and SQL for data analysis and model testing.
• Experience with trading systems (e.g., Endur, Aspect, RightAngle) and market data sources (e.g., Bloomberg, Totem) is helpful but not required.