Quantitative Developer - SMA & Muni

PIMCOSan Diego, CA
80d$165,000 - $180,000

About The Position

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.

Requirements

  • Graduate degree (M.S.) in Financial Engineering, Mathematics, Computer Science, or a related STEM field.
  • 0-2 years of relevant experience.
  • Demonstrated ability to work independently with a strong sense of ownership.
  • Proficient in a modern analytical programming language (e.g., Python, R, MATLAB).
  • Exceptional interpersonal and communication skills.
  • Experience with market-data feeds (Bloomberg, Refinitiv, Tradeweb, ICE).
  • Familiarity with SOLID principles, design patterns, and CI/CD.
  • Research experience applying advanced machine-learning or deep-learning techniques.
  • Prior internship or project work on sell-side or buy-side desks.
  • Knowledge of messaging/streaming frameworks (Kafka, RabbitMQ, ZeroMQ).
  • Comfortable writing efficient, well-structured SQL.

Nice To Haves

  • Experience with large historical time-series data.
  • Comfortable with performance-tuning SQL.
  • Willing to work onsite in San Diego.

Responsibilities

  • Build and maintain Python- and SQL-based data pipelines.
  • Ingest, clean, and reconcile large datasets from MSRB, vendor feeds, and internal trade records.
  • Ensure accurate real-time pricing and analytics for portfolio managers.
  • Tune and validate models and perform back-tests.
  • Contribute to the deployment of pricing and risk engines into production services.
  • Interact daily with portfolio managers, quant researchers, and developers.

Benefits

  • Base salary determined by core job responsibilities, relevant experience, internal level, and market factors.
  • Discretionary bonus based on performance.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

Insurance Carriers and Related Activities

Education Level

Master's degree

Number of Employees

1,001-5,000 employees

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