Quantitative Analyst (Quant Analyst) – Tier 1 Bank, UK

Location: London, UK
Employment Type: Permanent/Contract
Salary: Competitive, based on experience

About the Role:

A leading Tier 1 bank is seeking a highly skilled Quantitative Analyst (Quant Analyst) to join its dynamic team in London. The successful candidate will be responsible for developing, implementing, and validating quantitative models across various asset classes, ensuring alignment with regulatory requirements and business needs.

Key Responsibilities:

Develop, implement, and enhance pricing, risk, and valuation models for trading and risk management purposes.
Conduct quantitative analysis on financial products such as derivatives, fixed income, equities, and FX.
Work closely with trading, risk management, and IT teams to provide quantitative support and ensure model integration.
Perform model validation and backtesting to assess the robustness and accuracy of financial models.
Develop and maintain model documentation in compliance with regulatory standards (e.g., Basel, IFRS 9, FRTB).
Collaborate with stakeholders to identify and address business challenges through quantitative solutions.
Stay abreast of the latest financial modeling techniques, market trends, and regulatory developments.
Provide analytical support for stress testing and scenario analysis to support capital and risk management strategies.

Key Skills and Experience Required:

Strong academic background with a Master’s or PhD in a quantitative discipline (e.g., Mathematics, Statistics, Financial Engineering, Physics, Computer Science).
Proven experience in quantitative analysis within a Tier 1 bank or financial institution.
Proficiency in programming languages such as Python, C++, R, or MATLAB.
Deep understanding of financial mathematics, stochastic calculus, and statistical modeling techniques.
Experience with risk management frameworks, including market risk (VaR, Expected Shortfall), credit risk, and counterparty risk.
Strong understanding of derivative pricing models and valuation techniques.
Excellent communication skills with the ability to present complex concepts to non-technical stakeholders.
Knowledge of regulatory requirements such as Basel III, FRTB, and IFRS standards.

Desirable Skills:

Experience working with large datasets and applying machine learning techniques in financial modeling.
Familiarity with cloud-based technologies and big data analytics platforms.
Certification such as CFA, FRM, or CQF is a plus.
Experience in algorithmic trading strategies and execution modeling.

Benefits:

Competitive salary and performance-based bonus structure.
Comprehensive benefits package including health insurance, pension, and flexible working arrangements.
Exposure to cutting-edge technologies and methodologies in financial analytics.
Opportunity to work in a fast-paced, challenging, and rewarding environment.