Quantitative Research Analyst – Client Analytics
About The Position
Client Solutions & Analytics is a team of Quantitative Research Analysts that focus primarily on client portfolio and asset management issues from a quantitative perspective. The team’s mandate is broad in nature and covers a wide array of topics in portfolio diagnostics, portfolio optimization, macro insights, asset class insights, and client directed research and thought leadership. The group collaborates with multiple parts of the firm, including Portfolio Management, Product Management, and Account Management. Quantitative Research Analysts take the lead ownership role for maintaining and growing the team’s IP. We achieve this by operating on three drivers: first, they develop all the quantitative models that power the team’s systems and applications. Second, they contribute to the research and thought leadership pieces by working very closely with the team’s senior leadership; and third, they work alongside the team’s solution strategists to deliver high quality analytical studies to our clients. All three factors contribute directly to CS&A becoming a trusted advisor to PIMCO’s top clients.
Requirements
- Quantitative Master’s degree (financial engineering or other quantitative discipline)
- 0-5 years of relevant work experience post-graduate in asset management or financial services
- Formal training and strong interest in some of the following areas: Finance theory (especially portfolio theory, option pricing, and asset pricing), Statistics, and Data Science
- Excellent programming skills in Python
- Experience implementing or working on large financial applications and systems
- Good exposure to and knowledge of financial markets
- Effective communication skills, both oral and written
Responsibilities
- Designing, developing, and improving the suite of client analytics models and applications
- Collaborating with core Technology at PIMCO to ensure the client analytics applications are scalable, cloud-enabled, and client facing within PIMCO’s digital ecosystem.
- Contributing to highly customized asset allocation and portfolio construction studies for key clients
- Supporting innovative research in asset allocation, portfolio optimization, trading signals, asset returns and valuation
- Continuously coming up with new insights to improve the quant models that the team produces, datasets it ingests, and applications it delivers.
- Mentorship of junior quants and technologists in the team
Benefits
- Base salary
- Discretionary bonus
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
