KM4 SCOPE The Lead Portfolio Investment Analyst (PIA) resides within the Fixed Income Modeling and Enablement group and is a member of the Global Trading team. The Lead PIA works directly alongside portfolio managers and traders to assist with the day-to-day portfolio implementation and management of accounts and orders. The Lead PIA will also be expected to provide support to the investment process and perform ad-hoc analysis related to the strategies. The team requires an experienced modeler with quantitative and technical abilities. A successful candidate will have experience blending quantitative modeling, programming, and trading strategy development to optimize decision-making. PRINCIPAL RESPONSIBILITIES Partner directly with the portfolio management team on the day-to-day modeling of the strategy through exposure monitoring, trade allocations and cash flow management Independently assume coverage for strategies, escalating issues as necessary with pre-established thought process for resolution Coordinate with the analysts, portfolio managers, traders, compliance and legal on portfolio and security transactions Proactively assume responsibility for projects that increase efficiency and promote best practices within the team, reducing risk Serves as a subject matter expert on fixed income modeling when working with various functions and groups within the firm including investments, client services, and operations Manage trading and portfolio manager relationships including coordinating accurate and timely communication of changes across the trading division Work effectively with internal systems designed for portfolio management and trade modeling Monitor portfolio analytics and generate and run accurate orders through the trade cycle Determine accurate interest rate and currency hedging information, and other related daily portfolio functions specific to the desk assigned Guide more junior team members on complex modeling issues Required Qualifications 5 years T. Rowe Price or related experience Bachelor's degree in Business, Finance, Economics, or Quantitative Discipline Strong analytical skills and the ability to solve problems Proficiency with R or Python programming language Knowledge of investments, portfolios, and financial markets Knowledge of fixed income markets and instruments, including derivatives Ability to quickly process information, draw relevant conclusions, and clearly summarize results Ability to determine priorities, plan, organize, and follow through on assignments Effective written and verbal communication and organizational skills Preferred Qualifications Completed, or in pursuit of, advanced degree or CFA, FRM or CAIA Understanding of quantitative portfolio construction and optimization techniques Ability and willingness to leverage AI tools to boost efficiency Familiarity with risk forecast models Familiarity with Charles River