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
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. 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.
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.
To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
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.
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.
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).Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
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.
Facebook(Opens in new tab or window)
Employment type Full-time
Sign in to set job alerts for “Quantitative Developer” roles.
QUANT DEVELOPER -Python (TOP HEDGE FUND!)
Quantitative Researcher (Machine Learning)
Quantitative Developer, Systematic Equities
Python Developer – Quant Research Platform | London - Packages available in excess of £250k p/a
Software Engineer (Python) - Quant Hedge Fund - Data Store - £200k
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#