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QA Equities and Hybrid

Barclays

London

On-site

GBP 60,000 - 90,000

Full time

6 days ago
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Job summary

Barclays is seeking a skilled Quantitative Analyst for their Equity & Hybrid Products team in London. The role involves developing pricing models and collaborating closely with traders to optimize trading strategies. Ideal candidates will have strong quantitative backgrounds and proficiency in programming, particularly C++ and Python. This is an excellent opportunity to apply analytical expertise at the forefront of investment banking.

Qualifications

  • MSc/PhD in a quantitative field is essential.
  • Strong programming skills in C++ and Python.
  • Experience with equity derivatives, both vanilla and exotic.

Responsibilities

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

Skills

Programming in C++
Programming in Python
Quantitative analysis
Risk management
Statistical modeling

Education

MSc/PhD in Mathematics
MSc/PhD in Physics
MSc/PhD in Financial Engineering
MSc/PhD in Computer Science

Job description

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

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

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.

Key Accountabilities:

  • 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.

Essential Skills & Qualifications:

  • 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.
  • 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.
  • 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.
  • If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.
  • 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 be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.
  • Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
  • Manage and mitigate risks through assessment, in support of the control and governance agenda.
  • Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  • Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
  • Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
  • Adopt and include the outcomes of extensive research in problem solving processes.
  • Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills 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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Accounting/Auditing and Finance
  • Industries
    Financial Services, Banking, and Investment Banking

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