Job Description

About DESRI

DESRI (formerly D. E. Shaw Renewable Investments) is a market-leading owner and operator of renewable energy projects throughout the United States. We have acquired or developed approximately 11.9 gigawatts of contracted capacity across a portfolio of over 80 renewable energy projects in 24 states. DESRI is run by a dynamic team with offices located at New York, Denver, and Hyderabad (India).

What you'll do

• Own the end-to-end information management lifecycle for project and financing data, ensuring accuracy, accessibility, and audit readiness across systems.
• Support critical transactions (acquisitions, refinancings, corporate financings) by managing data workflows, tracking progress, and proactively driving closure of open items with internal and external stakeholders
• Interpret and validate key commercial and financial terms from agreements (e.g., debt documents, swaps, contracts), ensuring completeness and consistency of underlying data
• Oversee and continuously improve centralized data repositories, including data structures, governance standards, and version control practices
• Partner with Treasury, Asset Management, and accounting teams to maintain high-quality datasets (e.g., debt, hedging, contractual obligations) and resolve discrepancies or data gaps
• Manage and enhance investor reporting processes and platforms, ensuring accuracy, timeliness, and effective exception handling
• Identify opportunities to streamline workflows and reduce manual effort by leveraging automation, AI tools, and scalable data solutions
• Contribute to the development of data architecture, reporting frameworks, and best practices to improve usability and decision-making across teams

Qualifications

• A bachelor’s/master’s degree with 2–4 years of relevant experience in information management, financial data management, or contracts management
• Ability to interpret agreements and financial documents, with a focus on accuracy, completeness, and applying judgment beyond first-pass data extraction
• Proficiency in Excel and comfort working with structured datasets; ability to analyze, validate, and reconcile data
• Strong organizational and execution skills, with the ability to manage multiple priorities and deliver reliably in a fast-paced environment
• Effective communication and stakeholder management skills, with experience working across global teams
• Exposure to automation, data tools, or AI-enabled workflows (e.g., Power BI, SQL, Python, or similar), with the ability to improve processes and reduce manual effort preferred