Quantitative Model Developer

Prague

As a Barclays Quantitative Model Developer, you will participate in the development and maintenance of production regulatory market risk models. The area of activities includes: supporting AWS cloud based risk model systems, supporting runtimes using virtual and serveless hardware, deployment quantitative models to production. The systems include market data loading, pricing, sensitivity based risk analytics, historical back-testing, statistical analysis of relevant market data, numerical implementations of analytical modules in Python.
Barclays is one of the world's largest and most respected financial institutions, established in 1690, with a legacy of success, quality, and innovation. We offer careers that provide endless opportunity – helping millions of individuals and businesses thrive and creating financial and digital solutions that the world now takes for granted.

At Barclays, we offer a hybrid working experience that blends the positives of working alongside colleagues at our onsite locations, together with working from home. We have a structured approach where colleagues work at an onsite location on fixed, ‘anchor’, days of the week, for a minimum of two days a week or more, as set by the business area (or nearest equivalent if working part-time hours). Please discuss the working pattern requirements for the role you are applying for with the hiring manager. Please note that as we continue to embed our hybrid working environment, we remain in a test and learn phase, which means that working arrangements may be subject to change on reasonable notice to ensure we meet the needs of our business.

What will you be doing?

Applying cutting-edge machine learning and artificial intelligence methodologies to enhance Market and Counterparty credit risk monitoring and management

Developing computational methods and mathematical and statistical models, including VaR/CVaR, stress-VaR to be used for risk management applications

Researching, formulating, and implementing quantitative models and solutions to optimize pricing and risk management of financial products

Performing computations and assess numerical implementations of analytical modules, models, and methodology documentation using mathematical theories

Being responsible for validating, formulating, and testing quantitative pricing models to ensure adequacy

Implementing and maintaining analytics models and applications within Python library to generate analytical insight used to facilitate the development of market risk

Building optimization tools using Python to facilitate counterparty risk management, including cash usage, balance sheet, liquidity, and regulatory capital

What we’re looking for:

Natural language processing and sentiment analysis

Attention based transformer architectures, e.g. Google’s open-source BERT

Experience in supporting machine learning models in production

Hands-on programming skills in Python or C++

Skills that will help you in the role:

Experience with Large Language Models in a production setting

Experience supporting AWS cloud based risk model systems, supporting runtimes using virtual and serveless hardware, deployment quantitative models to production

Experience in development and support of quantitative development process, including statistical and machine learning models

Analytic skills: financial mathematics, time series, statistical analysis, numerical analysis, etc

Where will you be working?
Our Prague office is based in the financial centre of Prague. We are part of the Operations and Technology Division, and as such, we try our best to stay at the top of our technological game. However, the technology itself is not the most important thing. What matters the most to us is the way our ingenuity can help provide better service to our customers and make life easier for our employees.

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