Join our Quantitative Research team in London, where you will design and implement advanced models, develop analytical tools, and drive innovation in treasury management for the Commercial & Investment Bank.

Are you passionate about quantitative modelling and financial innovation? As an Associate in Quantitative Research, you will collaborate with global teams to deliver data-driven solutions and actionable insights. This is your opportunity to work at the forefront of AI, automation, and analytics, supporting strategic objectives in a dynamic market environment. If you thrive on solving complex challenges and driving change, we invite you to join our expert team.

Job Summary:
As an Associate within Quantitative Research, Market Treasury team in London, you will play a key role in designing and implementing advanced models to assess risk and develop tools to predict and explain P&L. You will work closely with the Markets Treasury team and CIB Technology, gaining exposure to large-scale data analytics, AI applications, and automation of reporting processes. You will collaborate with stakeholders across markets and technology to deliver innovative solutions, enhancing treasury management practices and supporting strategic objectives in a fast-paced environment.

Job Responsibilities:

Contribute to the strategic transformation of the investment bank into a data-driven business using AI and machine learningDesign frameworks and build applications for data analyticsConduct data analysis and identify or explain key factors within large financial datasetsDevelop end-to-end solutions and user tools that provide valuable analytics to stakeholdersCollaborate with business and senior leaders to improve financial resource consumption and quantify impactPartner with technology teams to scale and develop new analytical frameworks and optimisation strategiesWork closely with partners in Asia-Pacific and New York to deliver global solutions

Required Qualifications, Capabilities, and Skills:

Advanced degree (Master’s or PhD) or equivalent in a quantitative field such as Mathematics, Computer Science, Physics, or EngineeringStrong programming background with high proficiency in PythonDemonstrated quantitative and problem-solving skillsMarkets experience and familiarity with general trading concepts and terminologyExcellent verbal and written communication skills, able to engage partners and stakeholders on complex topicsAbility to quickly grasp business concepts outside immediate area of expertise and adapt to changing business needsStrategic and creative thinker, always seeking new approachesRobust system and solution design mindset, including diligent testing and verification practices

Preferred Qualifications, Capabilities, and Skills:

Knowledge of derivatives pricing theory, trading algorithms, and/or financial regulationsExperience designing, building, and deploying analytical data productsUnderstanding of a bank’s balance sheet and/or experience with financial optimisation problemsAbility to discuss different types of financial risk and approaches to risk managementKnowledge of options pricing theory, trading algorithms, or financial regulationsExperience with robust testing and verification practices