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This is a single group combining expertise in quantitative analytics, modeling, pricing and risk management, with a deep understanding of system architecture and programming.
They are responsible for building a single, end-to-end quantitative analytics and model delivery platform across the Bank. The team delivers innovative solutions to business requirements, ensuring that these solutions are accurate, performant, robust, reliable and scalable leveraging on proven strengths of the Investment Bank Strategic Analytics Group.
You will be joining the organization to support the Wealth Management division, part of the Private Bank. You will be responsible for the development and implementation of quantitative pricing analytics within the strategic platform for this business. By taking a cross-business and cross-functional approach, you will within the team aim to remove duplication and operational complexity caused by fragmentation of analytics across legacy platforms. The platform is written in C++ and Python.
Your key responsibilities:
Work in partnership with the Wealth Management division to drive the extension of their strategic platform to cover their analytical requirements
Responsible for implementing key financial products within the platform and delivering key pricing and risk management tools
Strong focus on business opportunities, and bringing innovative and quantitative ideas to solve complex problems for the business
Identify synergies across businesses in order to deliver a comprehensive and scalable platform
Your skills and experience:
Strong quantitative, modelling, pricing and risk management skills, demonstrated within a financial services environment
Proven years of experience developing banking applications with C++ and/or Python
Ability to bring innovative and quantitative ideas to solve complex problems for the business
Experience delivering in an agile, fast-paced trading technology environment
Able to multi-task across different projects and prioritise against tight deadlines