16 часов назад
2027 Summer Intern – PhD Quant Research Analyst, Client Solutions & Analytics, US (Quantitative Finance)
205 000$
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Описание вакансии
Текст:
TL;DR
2027 Summer Intern – PhD Quant Research Analyst, Client Solutions & Analytics, US (Quantitative Finance): Developing quantitative research, bespoke investment solutions, and portfolio analysis platforms for PIMCO clients with an accent on empirical research, econometrics, and optimization methods. Focus on analyzing large datasets, programming in Python, MATLAB, and C++, and applying AI tools to solve investment and client analytics problems.
Location: Newport Beach, California, United States; full-time work from ’s Newport Beach headquarters is required.
Salary: $205,000 annual base salary, plus a discretionary bonus and a transition bonus to support relocation to an office location.
Company
is a global active fixed-income investment management firm providing investment returns, solutions, and services to clients.
What you will do
- Produce quantitative research and thought leadership on market themes relevant to clients.
- Construct bespoke investment solutions for client needs.
- Develop platforms and applications for analyzing client portfolios.
- Research topics including inflation, fixed income, private assets, emerging-market portfolios, and retirement planning.
- Collaborate with Portfolio Management, Product Strategy, and Client Management.
- Present research and investment solutions internally and to clients.
Requirements
- PhD candidate enrolled at a university during Fall 2027 and available for the full 10-week internship from early June to mid-August 2027.
- Must be able to begin full-time employment from a office between January and August 2028.
- PhD studies in a quantitative discipline; Finance, Economics, Statistics, Physics, or Mathematics preferred.
- Strong background in quantitative disciplines, with knowledge of asset pricing, economic theory, or optimization methods preferred.
- Formal empirical research training, especially in time-series and panel-data econometrics; large-dataset experience preferred.
- Programming proficiency and strong analytical, problem-solving, presentation, and public-speaking skills.
Nice to have
- Experience using emerging technologies and AI tools in academic or professional projects.
- Knowledge of asset pricing, economic theory, and optimization methods.
- Experience analyzing large datasets.
Culture & Benefits
- Ten-week structured internship with Fundamentals Training during the first week.
- Mentorship from a supervisor, peer mentor, senior leaders, and the team.
- Cross-divisional education, networking, social, and volunteering events.
- Hands-on experience with AI-powered tools, training, and supporting resources.
- Formal mid-summer and end-of-summer performance reviews.
- Competitive compensation and a transition bonus to support relocation to an office location.
Hiring process
- Initial resume review followed by first-round interviews for selected candidates.
- Final-round interviews are conducted live by video conference and typically cover behavioral and technical concepts.
- Applications are reviewed in phases, so early submission is encouraged.
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