QA Equities and Hybrid

Barclays Business Banking; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company is seeking a skilled Quantitative Analyst for their Equity & Hybrid Products team in London. The role involves developing pricing and risk models, collaborating with traders, and providing quantitative expertise to optimize trading strategies. Ideal candidates will have strong programming skills and a deep understanding of financial derivatives.

Qualifications

• Experience with equity derivatives and hybrid products preferred.
• Strong programming skills in C++, Python or similar.
• Deep understanding of stochastic calculus and numerical methods.

Responsibilities

• Develop and maintain pricing and risk models for equity derivatives.
• Collaborate with traders and risk managers to deliver analytical tools.
• Conduct scenario analysis and stress testing for structured products.

Skills

Programming

Quantitative Analysis

Communication

Education

MSc/PhD in a quantitative field

Tools

C++

Python

Job description

Join to apply for the QA Equities and Hybrid role at Barclays Business Banking.

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.

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.

Vice President Expectations

1. Contribute to 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.
2. If managing a team, define jobs and responsibilities, plan for future needs, and oversee performance and pay decisions. Lead specialists to influence operations, ensure strategic alignment, and balance short- and long-term goals.
3. Demonstrate leadership behaviors: Listen and be authentic, Energize and inspire, Align across the enterprise, Develop others.
4. As a subject matter expert, guide technical direction, lead multi-year projects, mentor less experienced staff, and advise stakeholders on strategic impacts.
5. Manage and mitigate risks, demonstrate leadership in controls, and understand organizational functions to support business goals.
6. Collaborate across teams, create solutions based on analytical thinking, and incorporate research outcomes into problem-solving.
7. Build and maintain trusting relationships with stakeholders, influence outcomes, and negotiate effectively.

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

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Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Quality Assurance

Industries

• Banking