CIB Treasury Deposit Analytics, a unit within CIB Treasury, is responsible for
- Supporting the Asset and Liability Management (ALM) side of the CIB’s banking book with focus on Interest Rate Risk
- Supporting the Liquidity side of CIB’s wholesale deposit book developing approaches to liquidity stress testing and monitoring results
- Supporting effective Funds Transfer Pricing, Liquidity Premium allocations and SVA return analysis
- Modelling Balance sheet and NII for the CIB’s deposit businesses, including supporting normal business forecasting processes and regulatory submissions such as CCAR
- Providing treasury-related guidance and support to our CIB Payments and Securities Services businessesResponsibilities:
- Support development of quantitative analysis, data transformation, mapping, and tools in excel and Python to support business processes and reporting
- Work independently and collaboratively with CIB businesses, the F3 team and Global Treasury to support development of appropriately robust approaches to liquidity stress testing, including being able to develop, clearly document and support assumptions about deposit liquidity in stressed market conditions
- Develop approaches to ad hoc issues to ensure appropriate treatment of business balances in liquidity reporting and funds transfer pricing
- Support ad-hoc projects and analyses as needed by senior management or regulatory initiatives, such as
- Assist in the CIB’s interest rate risk in the banking book (IRRBB) work, aiding the daily risk review process as well as working with CIB deposit businesses to ensure appropriate modelling of deposit interest rate risk
- Improve the IRRBB framework for the CIB, developing reports, maintaining tools through excel and Python to better analyse CIB risk and driving a culture of ongoing process improvements
- Own routine BAU processes, complete ad-hoc requests, and provide support as needed to senior analytics team members
Required Qualifications, Capabilities and Skills:
- Bachelor degree required: Finance, Economics or other quantitative fields is desirable
- Strong computer skills, particularly in Excel, PowerPoint, Word, Access, Python programming, experience with digital accelerators (e.g., Alteryx) is a plus, with a keen willingness to progress learning
- Proven entry level Python background with a strong interest to progress learning; deomonstrated ability and understanding of data manipulation and analysis is preferred. Understanding of essential Python libraries including pandas and numpy is helpful.
- Preferred experience in financial services, ideally in work related to deposits, liquidity or IRRBB
- You should be skilled and ready to learn how to perform complex and quantitative analyses - analytical, creative thinking and problem-solving skills are needed and mathematical / statistical intuition is helpful. You should be comfortable working with and interpreting data to draw conclusions
- You must be versatile, able to work effectively independently and as part of a team in a fast-paced and dynamic environment; you should be able to work under pressure, rapidly prototype solutions, prioritize multiple tasks simultaneously and bring projects to completion
- You should be a self-starter, able to organize and execute responsibilities with limited supervision, taking ownership of tasks at hand and mobilizing others, while also knowing when to escalate and involve managers. Strong interpersonal, organizational, and communications skills are essential, including the ability to present information in a clear, concise, and effective manner to a wide variety of audiences
Preferred Qualifications, Capabilities and Skills:
- Working knowledge of financial analysis, liquidity risk, balance sheet analysis, regulatory requirements (US/Basel) and accounting concepts is beneficial
- Prior experience in IRRBB and/or deposit liquidity concepts is preferred