Sr. Data Financial Analytics Developer

Job Title: Data Financial Analytics Developer - Financial Services Location: Southern California About the Role We are seeking a Data Developer to join our team to bridge the gap between research prototypes and live trading. In this role, you will build and maintain robust Python- and SQL-based data pipelines that ingest, clean, and reconcile large datasets, vendor reference feeds, and internal trade records. Your work will ensure portfolio managers receive accurate, real-time pricing and analytics to support execution decisions. You’ll collaborate closely with quantitative researchers, developers, and portfolio managers to validate models, perform back-tests, and deploy pricing and risk engines into production. This position offers a unique opportunity to work in a fast-paced trading-floor environment that values analytical rigor, documentation, and continuous improvement. Key Responsibilities • Design, build, and maintain Python- and SQL-based data pipelines for large financial datasets. • Integrate and reconcile data from a Regulated Financial Data source, market vendors, and internal trading systems. • Collaborate with quantitative researchers to tune, test, and deploy production models. • Develop and maintain CI/CD workflows for analytics and trading infrastructure. • Work with portfolio managers to translate analytical requests into scalable solutions. • Contributes to the development of pricing and risk engines used in live trading. • Promote best practices in documentation, testing, and model governance. Qualifications • Graduate degree (M.S.) in Financial Engineering, Mathematics, Computer Science, etc. • 2 years of relevant experience in quantitative research, trading technology, or analytics. • Strong proficiency in Python and comfort with turning research code into production workflows. • Solid grounding in probability, statistics, and numerical methods. • Skills in writing and optimizing SQL for large datasets. • Experience with market data feeds (Bloomberg, Refinitiv, Tradeweb, ICE) and time-series data. • Familiarity with version control and CI/CD tools (Git, Azure DevOps, GitHub Actions, etc.). • Knowledge of object-oriented design, SOLID principles, and design patterns. • Excellent interpersonal and communication skills. • Demonstrated ability to work independently and manage multiple priorities. Preferred Experience • Prior internship or project experience on trading desk. • Exposure to fixed-income, equity, or derivatives products. • Experience with messaging/streaming frameworks such as Kafka, RabbitMQ, or ZeroMQ. • Research experience in machine learning or deep learning applications for financial modeling.