Data-Driven Quantitative Research Analyst
20 hours ago
PIMCO is a global leader in active fixed income, leveraging 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 non-traditional solutions for companies that need financing and investors who seek strong risk-adjusted returns.
We invest our clients' capital across a range of fixed income and credit opportunities, driving innovation and expertise to our partnership with institutions, financial advisors, and individual investors. PIMCO's portfolio management team seeks to deliver top-notch investment performance through a disciplined approach to asset allocation and rigorous research.
As a Quantitative Research Analyst at PIMCO, you will work closely with our world-class portfolio managers to develop new strategies and optimize existing ones. Your focus on data-driven insights will inform our investment decisions and drive growth. With your expertise in econometric/statistical modeling and programming skills, you will help us build robust models that predict returns and optimize portfolios.
The ideal candidate will possess a Master's or Ph.D. degree in computer science, statistics, engineering, finance, economics, or a related field. You should have minimum 5 years of experience in the financial industry, with a proven track record of building and testing models using corporate fundamentals. Proficiency in Python programming and excellent analytical and quantitative skills are essential.
In this role, you will also collaborate with our trading functions to implement new signals and techniques in portfolios. Self-motivated individuals who can articulate complex issues and solutions to stakeholders will thrive in this position. Experience with machine learning and knowledge of non-traditional modeling techniques are added benefits.
PIMCO offers a competitive salary range of $187,000.00 - $240,000.00 per annum, plus discretionary bonus. We are committed to equal employment opportunity and affirmative action, welcoming applications from qualified candidates without regard to race, national origin, sex, sexual orientation, gender identity, age, disability, or any other factor prohibited by law.
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