Main Purpose and Accountability of the Role
As a Quantitative Analyst within Markets Engineering EMEA, you will be responsible for the design, development, and ongoing support of core quantitative libraries. This includes financial models, product representations, valuation and sensitivities (Greeks), XVA, and other risk metrics across multiple asset classes, including interest rates, FX, inflation, and equities.
Key Responsibilities
You will be accountable for the development, integrity, and governance of pricing and valuation models, and for taking appropriate action with respect to model risk, including:
- Provide quantitative support to all users of the internal pricing library, ensuring correct usage and interpretation of models.
- Partner closely with front‑office business teams (traders) and dedicated strat teams to design, enhance, and support pricing solutions.
- Design, implement, and maintain new quantitative models, and enhance existing models to meet evolving business and risk requirements.
- Develop and implement new products, payoffs, and analytics within the pricing framework.
- Own and coordinate model and library changes, including release planning and deployment to production in accordance with internal approval and change‑management procedures.
- Maintain the pricing library at an excellent standard, with a continuous focus on code quality, simplification, performance, documentation, and automated testing.
- Collaborate with quantitative teams across our client's entities that use the internal pricing library, promoting consistency, reuse, and best practices.
- Ensure adherence to regulatory standards, model risk management frameworks, and internal risk and control procedures.
- Drive innovation, particularly in identifying and delivering opportunities enabled by AI and advanced analytics within the pricing and modelling ecosystem.
- Perform additional duties consistent with the scope and purpose of the role, as required by management.
Required Experience
- Significant professional experience in a front‑office or front‑office‑aligned quantitative role within an investment bank, with hands‑on responsibility for pricing, valuation, or risk models.
- Track record of working directly with trading desks and/or struct teams to deliver pricing and modelling solutions.
- Experience developing, maintaining, and supporting production‑grade quantitative libraries or analytics platforms. Experience managing model or library changes through formal development, testing, approval, and release processes.
- Exposure to one or multiple asset classes in scope for the role (rates, FX, credit, equities, XVA or structured products).
- Prior involvement in innovation initiatives, including the application of AI or machine learning techniques in quantitative finance.
Required Functional / Technical Competencies
Quantitative & Modelling
- Strong theoretical and practical knowledge of pricing and valuation methodologies for derivative and structured products.
- Solid understanding of numerical methods, stochastic modelling, and curve construction.
- Ability to assess model limitations, assumptions, and appropriateness for intended use.
Software Engineering
- Strong programming skills in at least one core quantitative language (ideally C#, C++ and/or Python).
- Experience designing and maintaining scalable, well‑structured, reusable quantitative libraries.
- Strong focus on code quality, performance, documentation, and testing (unit, integration, regression).
- Experience with version control, controlled releases, and production support.
Model Risk & Governance
- Good understanding of regulatory expectations related to model risk (e.g. documentation, validation, controls, auditability).
- Ability to translate regulatory and risk requirements into practical implementation within pricing infrastructure.
- Experience interacting with model risk, validation, audit, or control functions.
Communication & Stakeholder Management
- Ability to communicate complex quantitative concepts clearly to traders, risk managers, and non‑quant stakeholders.
- Proven ability to balance business urgency with model risk discipline and engineering best practice.
- Confidence to challenge requirements constructively and propose robust alternatives.
Innovation
- Curiosity and openness to new approaches, with the ability to evaluate and deliver AI‑enabled or advanced analytics solutions where appropriate.
- Awareness of limitations, risks, and governance considerations associated with AI‑driven models.
Education / Qualifications
Essential
- Advanced degree (Master's or PhD) in a numerate discipline such as Mathematics, Physics, Engineering, Statistics, or Quantitative Finance.
Preferred
- Professional qualifications related to financial risk or modelling (e.g. CQF, FRM, or equivalent).
- Ongoing professional development in quantitative finance, software engineering, or applied AI.
Personal Requirements
- Strong sense of ownership and accountability, with a clear focus on quality, robustness, and risk awareness.
- Highly analytical, structured, and detail‑oriented, with the ability to operate effectively under pressure.
- Self‑motivated and proactive, with a continuous improvement mindset.
- Collaborative team player who can operate effectively across functions and geographies.
- Comfortable navigating ambiguity and evolving requirements in a front‑office environment.
- High ethical standards and commitment to regulatory compliance and internal controls.
WHO WE ARE
Our Expertise
We provide high-impact consulting across four key domains:
- Quantitative Finance: Advising on quantitative modelling and financial engineering tailored for Capital Markets and Financial Services.
- Risk Management: Strengthening Risk and Control Frameworks while managing evolving regulatory and compliance requirements.
- Artificial Intelligence: Partnering with Financial Institutions to design, deploy and govern AI-powered innovation - transforming data, processes, and decision-making
- Digital and Technology Transformation: Future-proofing technology landscapes through digital innovation, platform transformation, and intelligent automation
Our Commitment
Built on excellence, collaboration and innovation, Quanteam partners with clients to strengthen resilience, accelerate transformation and build future-ready capabilities.
