Quant Data Engineer - Treasury
Selby Jennings
Quantitative Analyst - Treasury
We are seeking an experienced Quantitative Data Engineer to join our Treasury team. In this role, you will play a key part in optimizing cash management and liquidity by applying data-driven and quantitative approaches. You will help align short- and long-term liquidity strategies, ensure compliance with regulatory requirements, and provide insights that enhance firm-wide financial decision-making.
You will collaborate closely with Trading, Risk, and Finance teams to develop and implement analytical solutions that improve treasury operations and overall capital efficiency.
This is a fast-paced, intellectually challenging environment where data informs every decision. We are looking for someone passionate about quantitative finance, treasury optimization, and building scalable analytical tools.
What You'll Do
- Apply quantitative methods to support cash forecasting, liquidity modeling, and optimization
- Develop and maintain models to improve cash management efficiency and capital allocation
- Analyze and communicate liquidity exposures, funding strategies, and risk metrics to stakeholders across trading, risk, and finance
- Partner with cross-functional teams to ensure alignment on treasury strategies and risk management practices
- Design, implement, and enhance treasury analytics, KPIs, and performance tracking frameworks
- Contribute to the development of automated tools and workflows for treasury processes
- Support the creation and refinement of treasury policies, controls, and governance frameworks
- Educate stakeholders by translating complex quantitative insights into clear, actionable recommendations
- Drive adoption of best practices in quantitative treasury management
What You'll Need
- 3+ years of experience in quantitative finance , ideally within treasury, trading, or risk environments
- Strong proficiency in Python and SQL for data analysis, modeling, and automation
- Advanced analytical and problem-solving skills with the ability to work with large, complex datasets
- Experience building or supporting financial models related to liquidity, cash flows, or risk
- Familiarity with accounting concepts such as journal entries, reconciliations, and accruals related to treasury activity
- Experience with data visualization and BI tools (e.g., Power BI, Looker) is a plus
- Strong communication skills with the ability to present quantitative insights to non-technical stakeholders
Preferred Traits
- Intellectual curiosity and a passion for solving complex financial problems
- Ability to thrive in a fast-paced, collaborative environment
- Strong attention to detail combined with a strategic, big-picture mindset
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