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Client Solutions & Analytics Quantitative Research Analyst - PIMCO
Software Engineer
Quantitative Research Analyst supporting client solutions and analytics for fixed‑income strategies, leveraging Python, SQL, machine‑learning models and data‑visualisation tools to generate actionable insights and drive investment performance.
About the role
Key Responsibilities
- Develop and maintain quantitative models to analyze fixed‑income and credit markets, supporting portfolio construction and risk management.
- Extract, clean, and transform large datasets from Bloomberg, internal systems, and third‑party sources using Python and SQL.
- Apply machine‑learning techniques to identify patterns, forecast yields, and enhance pricing and valuation frameworks.
- Create interactive dashboards and visualisations (e.g., Tableau, Power BI) to communicate insights to portfolio managers and client‑facing teams.
- Collaborate with traders, portfolio managers, and technology partners to integrate analytical tools into the investment workflow.
Requirements
- Strong programming skills in Python (pandas, NumPy, scikit‑learn) and proficiency in SQL for data manipulation.
- Experience with fixed‑income products, credit analysis, and familiarity with Bloomberg terminals.
- Demonstrated ability to build and validate statistical or machine‑learning models for financial data.
- Excellent data‑visualisation skills using tools such as Tableau, Power BI, or similar.
- Graduate degree in a quantitative discipline (e.g., Finance, Economics, Mathematics, Computer Science) or equivalent professional experience.
Skills
pythonsqlmachine learning