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

Apply Now

Quantitative Developer

Barclays Business Banking
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer – Core Data | Prime Brokerage – Digital Assets

Quantitative Developer – Core Data | Prime Brokerage – Digital Assets

Quantitative Developer

Quantitative Developer

Quantitative Developer

Join to apply for the Quantitative Developer role at Barclays Business Banking

1 day ago Be among the first 25 applicants

Join to apply for the Quantitative Developer role at Barclays Business Banking

Get AI-powered advice on this job and more exclusive features.

Join us as an Quantitative Developer, where you will be directly involved in the design and development of reusable frameworks and libraries for model development, execution, and analysis. You will also Implement and deploy models through complete Software Development Life Cycle (SDLC ) utilizing Python and DevOps tools following best practices

Required

  • A Master’s degree in Mathematics, Physics, Computer Science, or a related field from a top-tier university.
  • Professional experience as a quant developer or machine learning engineer.
  • Strong proficiency in Python and commonly used libraries such as Pandas, NumPy, and Dask.
  • Hands-on experience with DevOps tools such as Git, Bitbucket, and CI/CD pipelines (e.g. TeamCity).
  • Proven experience in software development within a production environment, with a solid understanding of the entire SDLC and software design patterns.
  • In-depth knowledge of various machine learning algorithms.
  • Excellent verbal and written communication skills.

Desirable

  • A PhD in Mathematics, Physics, Computer Science, or a related field from a top-tier university.
  • Experience in developing and deploying statistical and machine learning models, particularly within the finance industry.
  • Familiarity with working in a Linux environment and cloud platforms (e.g., AWS)

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

The role location is London.

Purpose of the role

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making

Accountabilities

  • Design analytics and modelling solutions to complex business problems using domain expertise.
  • Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
  • Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
  • Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
  • Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
  • Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
  • Ensure all development activities are undertaken within the defined control 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.

Back to nav

Share job

  • X(Opens in new tab or window)
  • Facebook(Opens in new tab or window)
  • LinkedIn(Opens in new tab or window)

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionFinance and Sales
  • IndustriesBanking

Referrals increase your chances of interviewing at Barclays Business Banking by 2x

Sign in to set job alerts for “Quantitative Developer” roles.QUANT DEVELOPER -Python (TOP HEDGE FUND!)

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 4 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 9 months ago

London, England, United Kingdom 1 week ago

Quantitative Researcher (Machine Learning)

London, England, United Kingdom 3 months ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Quantitative Research Analyst - eTrading

London, England, United Kingdom 1 month ago

Quantitative Developer, Systematic Equities

Greater London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 week ago

Python Developer – Quant Research Platform | London - Packages available in excess of £250k p/a

London, England, United Kingdom 4 months ago

Greater London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 days ago

Software Engineer (Python) - Quant Hedge Fund - Data Store - £200k

London, England, United Kingdom 2 days ago

London, England, United Kingdom 9 months ago

London, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

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.