Quant Data Engineer - Treasury

Quant Data Engineer - Treasury at Selby Jennings Quant Data Engineer - Treasury at Selby Jennings in River Grove, Illinois Posted in 7 days ago.

Type:

full-time

Job Description:

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