QA Equities and Hybrid

Barclays UK; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled Quantitative Analyst to join their dynamic Equity & Hybrid Products team in London. This role involves developing innovative pricing and risk models for equity derivatives and hybrid products, leveraging advanced programming skills in C++ and Python. You will collaborate closely with traders and risk managers to enhance trading strategies and optimize decision-making processes. If you are passionate about financial engineering and quantitative research, this opportunity offers a chance to make a significant impact in the investment banking domain.

Qualifications

• Strong programming skills in C++ and Python are essential.
• Deep understanding of stochastic calculus and derivatives pricing is crucial.

Responsibilities

• Develop and maintain pricing and risk models for equity derivatives.
• Collaborate with traders and risk managers to deliver analytical tools.

Skills

C++

Python

Stochastic Calculus

Numerical Methods

Derivatives Pricing

Equity Derivatives

Market Data Analysis

Education

MSc in Mathematics

PhD in Financial Engineering

MSc in Computer Science

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 and cross-asset (hybrid) products.

Key Accountabilities:

1. Develop and maintain pricing and risk models for equity derivatives and hybrid products (e.g., equity-interest rate, equity-FX structures).
2. Implement models in C++, Python, or proprietary libraries used by front-office desks.
3. Calibrate models to market data and perform quantitative analyses to support trading strategies.
4. Collaborate with traders, structurers, and risk managers to deliver robust analytical tools and pricing solutions.
5. Ensure model governance compliance, including documentation and validation support.
6. Contribute to innovation in pricing methodologies, numerical techniques, and model efficiency improvements.
7. Conduct scenario analysis and stress testing for complex structured products.

Essential Skills & Qualifications:

1. MSc/PhD in a quantitative field (e.g., Mathematics, Physics, Financial Engineering, Computer Science).
2. Strong programming skills (C++, Python or similar).
3. Deep understanding of stochastic calculus, numerical methods, and derivatives pricing.
4. Experience with equity derivatives (vanilla and exotics); hybrid product experience is a strong advantage.
5. Familiarity with market data sources (e.g., Bloomberg, Reuters) and calibration techniques.
6. Effective communication skills with ability to explain complex models to non-technical stakeholders.

Previous experience in a front-office quant role or risk/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, 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

1. 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.
2. Working closely with sales teams to identify clients' needs and develop customised solutions.
3. In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
4. Provide front office infrastructure support through ownership and maintenance of analytical libraries.
5. Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.
6. To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures.
7. Manage and lead teams or act as a subject matter expert, guiding technical direction, training, and coaching less experienced specialists, and influencing long-term strategic decisions.
8. Advise key stakeholders, including leadership teams and senior management, on functional and cross-functional impact and alignment.
9. Manage and mitigate risks through assessment, supporting control and governance initiatives.
10. Demonstrate leadership and accountability in managing risk and strengthening controls.
11. Contribute to organizational goals through understanding of various functions and collaboration.
12. Create solutions based on sophisticated analytical thinking, comparing and selecting complex alternatives.
13. Build and maintain trusting relationships with internal and external stakeholders to achieve business objectives, using influencing and negotiating skills.

All colleagues are expected to embody Barclays Values: Respect, Integrity, Service, Excellence, and Stewardship, and demonstrate the Barclays Mindset: Empower, Challenge, Drive.

About the company

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