Quantitative Developer - SMA & Muni

PIMCO is a global leader in active fixed income with deep expertise across public and private markets. We invest our clients' capital across a range of fixed income and credit opportunities, leveraging our 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 nontraditional solutions for companies that need financing and investors who seek strong risk-adjusted returns.

Since 1971, our people have shaped our organization through a high-performance inclusive culture, in which we celebrate diverse thinking. We invest in our people and strive to imprint our CORE values of Collaboration, Openness, Responsibility and Excellence. We believe each of us is here to help others succeed and this has led to PIMCO being recognized as an innovator, industry thought leader and trusted advisor to our clients.

We are seeking a Quantitative Developer to join our municipal-bond trading desk and bridge research prototypes with live trading. In this role you will build and maintain robust Python- and SQL-based data pipelines that ingest, clean, and reconcile large datasets from Municipal Securities Rulemaking Board (MSRB), vendor reference feeds, and internal trade records, ensuring that PMs receive accurate real-time pricing and analytics. Working alongside senior quantitative researchers and developers, you will tune and validate models, perform back-tests, and contribute to the deployment of pricing and risk engines into production services. Daily interaction with portfolio managers, quant researchers and developers will give you a front-row seat to execution decisions while fostering a culture of rigorous documentation, unit testing, and iterative improvement. Our qualified candidate offers strong proficiency in Python, solid grounding in probability and numerical methods, exposure to CI/CD and version control, and the curiosity and communication skills needed to thrive in a fast-paced trading-floor environment.

• Graduate degree (M.S.) in Financial Engineering, Mathematics, Computer Science, or a related STEM field.
• 0-2 years of relevant experience in the areas listed below
• Demonstrated ability to work independently with a strong sense of ownership, consistently driving projects to completion in a fast-paced environment.
• Proficient in a modern analytical programming language (e.g., Python, R, MATLAB) and comfortable turning research code into production workflows.
• Exceptional interpersonal and communication skills -- able to convert PM requests into analytical solutions and broader dev requirements
• Experience with market-data feeds (Bloomberg, Refinitiv, Tradeweb, ICE) and large historical time-series
• Familiarity with SOLID principles, design patterns, and CI/CD (Git, Azure DevOps, GitHub Actions, etc.)
• Research experience applying advanced machine-learning or deep-learning techniques
• Prior internship or project work on sell-side or buy-side desks involving model documentation and support for fixed-income, equity or derivatives.
• Knowledge of messaging/streaming frameworks (Kafka, RabbitMQ, ZeroMQ) for tick-level or intraday data
• Comfortable writing efficient, well-structured SQL and performance-tuning
• Willing to work onsite in our San Diego office

Equal Employment Opportunity and Affirmative Action Statement

PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws.

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