The Corporate & Investment Bank (CIB) Treasury (CIBT) is a critical function within the CIB's Finance and Business Management function. CIBT is responsible for managing the liquidity, balance sheet and capital positions of the CIB businesses, establishing transparent and market-based funds transfer pricing policy, and developing methodologies and metrics to improve the leverage, capital, collateral and liquidity risk management capabilities of the Corporate and Investment Bank.
CIB Treasury Banking Analytics, a unit within CIB Treasury, is responsible for
- Supporting the management of the CIB's banking book interest rate risk (IRR)
- Developing approaches to liquidity stress testing and monitoring results
- Supporting effective Funds Transfer Pricing and Liquidity Premium allocations
- Modelling Balance sheet and NII for the CIB's deposit businesses, including supporting business forecasting processes and regulatory submissions such as CCAR
As a key member of the CIB Banking Analytics team you will be involved in evaluating all aspects of the Payments, Trade Finance and Securities Services businesses' liquidity and balance sheet globally. You will partner with these industry leading liability-based businesses to help them understand and navigate the firm's prudential influencers and constraints to better optimize the Banking business' strategy. You will also support Corporate Treasury and CIO (TCIO) to develop efficient and effective policies and procedures for liquidity management relevant to these businesses.
This team is looking for an Associate to run a broad array of initiatives for the CIB Treasury Banking Analytics Group. You should be skilled at performing complex and quantitative analyses, pay close attention to detail and take ownership over projects and proactively move them forward. You should feel comfortable operating in a fast-paced and dynamic environment, be able to work on multiple complex projects simultaneously, and have a keen interest in capital markets and economics. Working knowledge of financial analysis, liquidity risk, balance sheet analysis, regulatory requirements (US/Basel); and accounting concepts is beneficial. Strong interpersonal, organizational, and communications skills are essential.
Job responsibilities:
- Read, understand and support interpretation of regulatory liquidity (LCR, NSFR) and capital policies and be able to think clearly about and articulate the application of these rules to CIB deposit businesses
- Work independently and collaboratively with CIB businesses 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
- Build close partnerships with lines of business to build understanding of client-driven liquidity and balance sheet dynamics and to maintain business liquidity and capital forecasts
- Work closely with CIBT Planning and Analysis team and lines of business to ensure robust NII forecasting
- Develop approaches to ad hoc issues to ensure appropriate treatment of business balances in liquidity reporting and funds transfer pricing
- Support development of quantitative analysis and tools to support business analysis and pricing decisions
- Support ad-hoc projects and analyses as needed by senior management or regulatory initiatives
- Seek ways to improve team processes
Finance, economics or quantitative degrees such as in computer science, math, statistics or economics may be useful. Must have a genuine interest in finance; prior experience in the industry is preferred.
Required qualifications, capabilities, and skills
- Strong interpersonal and communication (verbal and written) skills is a must, including the ability to present information in a clear, concise and effective manner to a wide variety of audiences.
- Strong problem-solving skills are needed and mathematical / statistical intuition is helpful. Candidates should be comfortable working with and interpreting data to draw conclusions.
- Candidates should be passionate about tackling difficult questions, conducting data analysis, and crafting a cohesive story from results and will have the opportunity to support industry-leading businesses with their analyses.
- Candidates must be versatile, able to work effectively independently or as part of a team on multiple projects simultaneously.
- Candidate should be a self-starter, able to organize and execute responsibilities with limited supervision, taking ownership of tasks at hand while also knowing when to escalate and involve managers.
- Ability to work under pressure, rapidly prototype solutions, prioritize multiple tasks and bring projects to completion is ideal.
- Preferred knowledge of Python, R, or any other statistical/numerical programming language or digital accelerators (or at least a strong desire to learn) is helpful
