Quantitative Modeller
1 month ago
We are seeking a highly skilled Quantitative Modeller to join our global markets' AI and ML team. This role presents a unique opportunity to join a new function within the organization with a focus on building AI/ML models and applications across all asset classes in Global Markets.
Key Responsibilities:
- Develop and implement quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
- Work closely with sales teams to identify clients' needs and develop customised solutions.
- Conduct in-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
- Provide front office infrastructure support through ownership and maintenance of analytical libraries.
- Offer expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.
Requirements:
- Experience with machine learning concepts, ML software engineering in Python, statistics, applied mathematics, and data processing.
- Cloud-based systems experience, such as AWS SageMaker.
- Strong analytical and problem-solving skills, with the ability to communicate complex information effectively.
- Ability to work collaboratively with cross-functional teams and influence stakeholders to achieve outcomes.
What We Offer:
- A dynamic and supportive work environment with opportunities for growth and development.
- A competitive salary and benefits package.
- The chance to work on high-profile projects and contribute to the success of our global markets' AI and ML team.
About Barclays:
Barclays is a leading global financial services provider, dedicated to helping our customers succeed. We offer a range of personal and business banking services, as well as investment and wealth management solutions.
How to Apply:
If you are a motivated and experienced Quantitative Modeller looking for a new challenge, please submit your application, including your CV and a cover letter outlining your relevant skills and experience.
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