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The balance between running and building will shift over time, but you should expect to work across most of the following:

• Cash and liquidity management: Monitor global cash positions and liquidity requirements, support short- and long-term cash forecasting, and help optimize the deployment of excess liquidity.
• Treasury system: Help finish the Kyriba implementation and then become one of the people who makes it useful and insightful. 
• Data, automation and AI: Find the manual processes worth removing and remove them. We are serious about getting agents and AI tooling into how the function actually works, having access to a suit of data analytics & AI tools at your disposal.
• Investments and FX: Support the management of our short-term investment portfolio across money market funds, government securities and deposits. Monitor and support the execution of our FX hedging program, including non-deliverable forwards for restricted currencies, and analyze associated hedging costs.
• Capital and liquidity analysis: Develop models to assess the firm's liquidity requirements, trading capital consumption and the financial impact of stress scenarios, working closely with stakeholders to support informed decision-making.
• Controls and counterparty monitoring: Maintain treasury controls, monitor counterparty and clearing exposures, and support periodic reporting to ensure effective risk oversight.
• Projects: Contribute to strategic treasury initiatives, including evaluating funding alternatives, establishing new entities, managing bank relationships, and further developing the global treasury operating model.

Within a year or so, the expectation is that you'll become the firm's go-to expert in at least one of these areas. We'll support you in developing the necessary domain knowledge, with the opportunity to take ownership and drive meaningful improvements.

• Data-driven mindset: You have strong analytical skills and enjoy working with data to identify trends, solve problems and generate meaningful insights.
• You bring evidence of building things: Something you wrote that took work out of a process, replaced a spreadsheet or answered a question that could not be answered before. The scale does not matter much; we care that you finish things.
• Practical experience with AI tooling: More than using a chatbot occasionally. Ideally, you have experimented with building solutions using large language models (LLMs) and understand their capabilities and limitations.
• Working knowledge of Python and SQL: Meaning you can build a data pipeline without help and put it somewhere other people can rely on. Git, scheduling and structured outputs should not be new to you.
• Enough finance knowledge to engage with the substance: You should be able to read a balance sheet and understand why liquidity and capital constrain a trading business. We can fill in treasury details.
• A real interest in financial markets: You should be following rates, funding and credit markets because you find them interesting, and be able to tell us what you make of what is going on.
• Foundational knowledge of fixed income, credit and FX: You have some familiarity with fixed income products, credit markets and FX instruments, with an interest in developing your knowledge further.
• Confidence to challenge existing approaches: You are naturally curious, comfortable asking questions and willing to challenge established ways of working when you see opportunities for improvement.
• Care with numbers, under time pressure: Hedge execution windows, funding decisions and morning briefings do not wait. We expect you to check your numbers, say when something is interpolated or indicative rather than quoted.
• Strong communication and collaboration skills: You communicate clearly in English, can explain your findings to different audiences and enjoy working with colleagues across Finance, Risk, Technology and the trading business globally.