Undergraduate or graduate degree in a quantitative field (Engineering, Finance, Mathematics, Computer Science, Operations Research or similar)
4+ years of relevant experience in a data strategy, analytics, or innovation-related role within a technology or financial services setting; experience in Securities Lending, Securities Financing, Cash Management or adjacent markets is preferred
Excellent demonstrated quantitative and analytics skills including the ability to identify problems, design and articulate solutions, and implement long-term change
Advanced proficiency with SQL and programming languages such as Python and/or R
Experience with data engineering workflows (ETL/ELT) and modern business intelligence tools (e.g. Power BI, Tableau)
Familiarity with cloud platforms, APIs, and distributed data systems preferred; prior experience with a large-scale data migration project highly advantageous
Curiosity and passion for innovation, including AI, automation, and emerging technologies
Exceptional problem-solving and critical thinking skills, with the ability to translate complex challenges into practical solutions
Strong communication and stakeholder management skills, including the ability to present findings and drive alignment across diverse groups
Detail-oriented, organized, and able to manage competing priorities in a fast-paced environment
Responsibilities
Innovation & Emerging Technology: Researching, documenting and testing new and emerging tech with a focus on revenue generation, productivity enhancement, scale enablement and risk mitigation potential
Derived Data Strategy: Developing proprietary business data transformations and logic through deep dive research into trading, market, product and client dynamics
Analytics & Business Intelligence: Collaborating in a multi-disciplinary squad involving program and product managers, data engineers, and trading and client professionals to expand the analytics and business intelligence offering based on impact and demand
Data Platform & Tooling: Contributing to the development of a revamped data platform to power the next generation of data-driven decision making
Central Partnerships & Collaboration: Securing and expanding data, analytics, and research partnerships with key stakeholders across the firm