Cash Desk Analytics & Automation Specialist

PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients’ capital across a range of fixed income and credit opportunities, leveraging our decades of experience navigating complex debt markets. Our flexible capital base and deep relationships with issuers have helped us become one of the world’s largest providers of traditional and nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns. Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients. Role Overview The Cash Desk is a core operational function at PIMCO, responsible for enterprise‑wide cash management, liquidity forecasting, and funding execution across mutual funds, hedge funds, and separately managed accounts. In addition to supporting day‑to‑day liquidity needs, the Cash Desk plays a critical role in shaping how cash data, forecasting models, and funding analytics are produced, governed, and consumed across the firm. This role [... source excerpt omitted ...] ing, Risk, and Operations to modernize cash management capabilities and support firm‑wide transformation efforts. The working hours for this role are 5am - 3.30pm Local Time Key Responsibilities Lead the design, development, and enhancement of cash management, liquidity forecasting, and funding analytics used across portfolios and business lines. Own and evolve core cash‑related data sets, metrics, and reporting frameworks, ensuring consistency, transparency, and scalability. Partner with Portfolio Management, Short‑Term Trading, Risk, and Operations to translate business needs into analytical solutions, tools, and dashboards. Drive automation and straight‑through‑processing ini [... source excerpt omitted ...] ational risk. Use of programming and query languages (e.g., Python, SQL, VBA) to automate processes, perform deep data analysis, and prototype new capabilities. Build, test, and productionize dashboards and reporting solutions for senior management. Support system migrations, platform enhancements, and integration of new data sources across cash and treasury ecosystems. Quantification of business impact (risk reduction, efficiency gains, cost savings, capital optimization) for technology and transformation initiatives. Required Qualifications Bachelor’s degree in Finance, Economics, Computer Science, Engineering, Data Science, or a related quantitative field; advanced degree