Data Science Analyst Position in Financial Modeling
2 weeks ago
We are seeking a highly motivated and detail-oriented Data Science Analyst to join our Quantitative Analytics team. As a key member of this group, you will contribute to the development of advanced statistical models and algorithms that drive business decisions.
About the RoleThis is a fast-paced, 1-2 year targeted graduate programme focused on developing specialist technical expertise. You will participate in the day-to-day operations of the Quantitative Analytics (QA) group by providing analytical insights and expertise that will help our business leaders and stakeholders make informed decisions.
Your Key Responsibilities- Apply the latest quantitative techniques to solve business problems, including research, development, and implementation of new models and solutions.
- Participate in training and development programs to enhance skills and knowledge.
- Design, develop and support the quantitative research framework using C++, Python, and other in-house domain specific languages.
- Train and mentor junior colleagues.
- Take ownership for managing risk and strengthening controls.
To be considered for this programme, you must be motivated and curious with strong mathematical and programming skills, preferably in Java, C++, or Python. You should also have a knack for logical thinking and creative problem solving. Ideally, you'll have completed or be in your final year of an undergraduate or postgraduate qualification, or equivalent, in a technical discipline such as Physics, Mathematics, Quantitative Finance, Economics, Statistics, Calculus, Computer Science, or other STEM subjects.
The BenefitsYou will be part of a collaborative and inclusive environment at our brand new state-of-the-art campus in Glasgow, designed with collaboration and the future of work in mind. Our campus is inclusive to all, with a specific focus on neurodiversity through our partnership with Scottish Autism. You will receive competitive salary ranging from £45,000 to £60,000 per annum.
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