The Bank in Bromley is seeking a Quantitative Engineer to design and implement scalable data and analytics components for Global Risk. You will work with modelers, risk managers and technologists across the full data stack to understand current state and shape future analytics.
Applicants should have strong Python and software development experience, familiarity with big data technologies, and a degree in Computer Science or a related field.
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Quantitative Engineer: Big Data & Risk Analytics in Orpington employer: United States Digital Space LLC
At our company, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions diversity and inclusion. With a strong focus on employee growth, we provide clear career paths, personal learning budgets, and generous benefits such as private healthcare and a flexible work-from-abroad policy. Join us in London and be part of a team dedicated to making a positive impact through greener travel choices while enjoying the perks of a supportive and innovative environment.
Contact Details:
United States Digital Space LLC Recruitment Team
