Quantitative Analyst

Join us as an "IB Quant Analytics professional" at a leading UK Bank. Investment Banking Analytics works in close partnership with our product and coverage businesses to design, develop and deliver valuable data and analytic content. We are accountable for the continued development and evolution of the analytic capabilities to support the growing reliance on data and creating model driven outcomes. The successful candidate will be required to work directly with developers and business consumers to find the most meaningful ways of presenting complex combinations of the qualitative and quantitative data to drive commercial outcomes.

To be successful as an "IB Quant Analytics professional", you should have experience with:

Basic/ Essential Qualifications:

* Experience working directly with developers and business consumers

* Presenting complex combinations of the qualitative and quantitative data to drive commercial outcomes

* Experience in designing machine learning pipelines

* Strong experience in Python programming, especially in the designing, development and support of AI/ML applications.

Desirable skillsets/ good to have:

• Experience in training, testing and deploying ML models live
• Candidate must be able to work as part of a global team – collaborating with US, UK and India.
• Exposure to Neural Networks and other deep learning architectures
• Experience with CI/CD tools like Jenkins or TeamCity.
• Knowledge of version control systems (Git).
• MSc. / PhD in a relevant field (Mathematics, Statistics, Physics, Computer Science)
• 8+ years of experience monetizing models and signals in a highly technical and analytic environment (Algorithmic Trading, Systematic Trading, Alpha Research, Financial Engineering)
• Previous experience in systematizing businesses. This is a deeply technical role for a hands-on practitioner
• Advanced Python development along with experience with python ecosystems.
• Demonstrable capabilities in at least one low level language (C++, Java)
• Strong knowledge of statistics, machine learning, artificial intelligence and data analysis.
• Excellent abstraction and software design skills (object oriented, services architecture, back-testing)
• An eagerness to iterate and deliver incrementally in partnership with business SME’s
• Curiosity and an interest in learning about Investment Banking.