Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Quantitative Investment Strategies(QIS) Platform Developer

Barclays UK
City of London
2 days ago
Create job alert

Join Barclays’ QA Equity & Hybrid Products team as a QIS Platform Developer to support the next-generation Quantitative Investment Strategies (QIS) platform.

Partnering with Trading, Structuring, Strats, and Technology, you will design and deliver high-performance, scalable tools, libraries, and frameworks that power innovative investment products, within a collaborative and intellectually demanding environment.

Accountabilities:

  • Create and enhance platform tooling, libraries, and frameworks in Python and other languages as appropriate delivering scalability, performance, and reliability.
  • Contribute to platform architecture and integration with infrastructure, services, and end-user workflows.
  • Work closely with front-office teams to deliver tools that support product development, trading, and risk management.
  • Maintain code, documentation, and work tracking to a high quality.
  • Support users across Front Office, Quant, and Technology groups.

Who You’ll Work With:

  • Front Office / Trading Desks – Delivering tools and solutions to develop and deliver products, manage risk and run the business.
  • Quant Teams – Sharing functionality and expertise across QA Equity & Hybrid Products.
  • Technology – Ensuring agile, efficient platform delivery and operational stability.

Essential Skills:

  • Familiarity with a wide range of programming languages and paradigms, including functional.
  • Strong Python skills with deep knowledge of the language and core libraries.
  • Foundational understanding of computer science principals and software engineering practices.
  • Experience developing production-quality software (source control, CI/CD, automated testing).
  • Strong grasp of software engineering principles and computer science fundamentals.
  • Track record in end-to-end project delivery.
  • Analytical mindset and excellent problem-solving skills.
  • Strong communication and a collaborative approach.

Desirable Skills:

  • Background in QIS or front-office quant environments.
  • Experience in platform development and developer experience.

This role is based in London.

Purpose of the role

To design, develop, and evolve trading, risk management and other platforms that facilitate trading and regulatory objectives within the investment banking domain.

Accountabilities

  • Design, development, and maintenance of high-performance trading platforms, risk systems, and applications catering to the needs of traders and market participants.
  • Collaboration with traders, strategists, and stakeholders to gather requirements and translate them into scalable and efficient technological solutions.
  • Implementation of new features, enhancements, and functionalities on trading platforms to improve performance, reliability, and user experience.
  • Stay updated on technological advancements, industry trends, and best practices to drive innovation and continuous improvement in trading platforms.
  • Collaboration with cross-functional teams including business aligned SM&D teams, strats, compliance, and IT to address system issues and implement solutions.

Vice President Expectations

  • 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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Investment Strategies(QIS) Platform Developer

Macro Research, Quantitative Investment Strategies Research - Vice President

Head of Index and Quantitative Strategies

Equity Research Analyst (Quantitative)

Equity Research Analyst (Quantitative)

Head of Data Products for Quantitative Strategies and Applications

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.