Quantitative Analyst Equities and Hybrid

Barclays UK; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A global investment bank in London is seeking a skilled Quantitative Analyst to join their Equity & Hybrid Products team. The role involves developing pricing and risk models, implementing them in programming languages like C++ and Python, and collaborating with traders to support trading strategies. Candidates should have an MSc/PhD in a quantitative field, programming skills, and experience with equity derivatives. This position offers opportunities for innovation and professional growth.

Qualifications

• MSc/PhD in Mathematics, Physics, Financial Engineering, or Computer Science.
• Strong programming skills in C++ and Python.
• Experience in equity derivatives is preferred.

Responsibilities

• Develop and maintain pricing and risk models for equity derivatives.
• Collaborate with traders, structurers, and risk managers.
• Conduct scenario analysis and stress testing.

Skills

Strong programming skills (C++, Python)

Deep understanding of stochastic calculus

Experience with equity derivatives

Effective communication skills

Education

MSc/PhD in a quantitative field

Tools

Bloomberg

Reuters

Job description

We are seeking a skilled and motivated Quantitative Analyst to join our Equity & Hybrid Products team. You will work at the intersection of financial engineering and quantitative research, supporting pricing, risk management, and trading strategies for a wide range of equity derivatives products.

In role you will

• Develop and maintain pricing and risk models for equity derivatives.
• Implement models in C++, Python, or proprietary libraries used by front-office desks.
• Calibrate models to market data and perform quantitative analyses to support trading strategies.
• Collaborate with traders, structurers, and risk managers to deliver robust analytical tools and pricing solutions.
• Ensure model governance compliance, including documentation and validation support.
• Contribute to innovation in pricing methodologies, numerical techniques, and model efficiency improvements.
• Conduct scenario analysis and stress testing for complex structured products.

To be successful as a Quantitative Analyst you should have

• MSc/PhD in a quantitative field (e.g., Mathematics, Physics, Financial Engineering, Computer Science).
• Strong programming skills (C++, Python or similar).
• Deep understanding of stochastic calculus, numerical methods, and derivatives pricing.
• Experience with equity derivatives (vanilla and exotics); hybrid product experience is a strong advantage.

Additional skills of value include

• Familiarity with market data sources (e.g., Bloomberg, Reuters) and calibration techniques.
• Effective communication skills with ability to explain complex models to non-technical stakeholders.
• Previous experience in an equity front-office quant role or equity model valuation team is preferred.

You may be assessed on the key critical skills relevant for this role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in London.

Purpose of the role

To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities.

Accountabilities

• Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
• Working closely with sales teams to identify clients' needs and develop customised solutions.
• In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
• Provide front office infrastructure support though ownership and maintenance of analytical libraries.
• Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.