Job responsibilities:
- Finance / treasury analytics: Transforming complex business scenarios and behaviors into financial / mathematical representations to drive evidence-based treasury decisions, working with LOB partners to gather and ensure integrity of input data. Executing analyses to support discussions and guide LOB decision-making.
- Strategic thinking: Developing an understanding of the treasury and balance sheet management content knowledge underlying the advisory toolkit of QS&A. Participating in team problem-solving sessions in support of strategic business decision making.
- Communication: Contributing to the production of visualizations / dashboards and narratives for written materials to ensure they deliver clear and powerful messages to a senior audience.
- Stakeholder management: Building relationships with finance, and business partners firm-wide through collaboration on critical strategic projects.
- Project management: Owning end-to-end work streams within the context of large-scale projects. Ensuring timely production of deliverables and proactively raising potential issues in the fast-paced environment of a small team with competing priorities and high-stakes responsibilities.
Required qualifications, capabilities, and skills:
- 3+ years of experience in banking, consulting, finance, strategy, capital markets, asset management, and/or risk management
- Quantitatively focused undergraduate and/or graduate degree or other demonstrated quantitative and analytical ability
- Versatile usage of Excel (advanced) to prototype solutions to complex business problems or design visualizations to help answer strategic business questions
- Excellent written (PowerPoint) and verbal communication skills with the ability to effectively discuss and debate complex concepts with senior stakeholders
- Qualified candidates will be analytical, resourceful, self-motivated individuals with a keen interest in financial services strategy, balance sheet management, banking, and corporate finance
Preferred qualifications, capabilities, and skills:
- MBA, MSc, MA equivalent and/or progress towards CFA charter preferred
- Experience using scripting / programming languages and statistical packages (e.g., Python, MATLAB, R, SQL)