Job Title: Build Bond Price Research System Using BigQuery and Machine Learning Job Description: We are seeking an experienced freelancer to develop a Bond Price Research System based on client requirements. Commbined with Machine Learning to enable powerful search, analysis, and insights into bond prices. Project Scope: - Design and build a scalable research platform for searching and analyzing bond price data (government bonds, corporate bonds, etc.). - Store and query large volumes of historical and current bond data in BigQuery. - Integrate Machine Learning models to support price analysis, trend detection, forecasting, and other research features. - Customize the solution according to the client’s specific needs. Key Requirements: 1. Technical Skills (Required): - Strong experience with Google BigQuery (SQL, data modeling, optimized querying, data ingestion, and BigQuery ML). - Practical experience building and deploying Machine Learning models for time-series or financial data (using Python, scikit-learn, TensorFlow, PyTorch, or BigQuery ML). - Proficiency in Python for data processing and ML pipelines. - Ability to work with large datasets and build efficient search/analytics systems. 2. Financial Knowledge: - Basic to intermediate understanding of bonds and fixed-income markets is preferred (bond pricing, yields, etc.). - You should be comfortable working with bond-related data and concepts. Nice-to-Haves: - Experience with financial data APIs or market data sources. - Previous work on financial analytics dashboards or research tools. - Familiarity with Google Cloud Platform services (Vertex AI, Looker, Dataflow, etc.). Deliverables: - Well-structured BigQuery database with clean data schema. - Integrated Machine Learning models for bond price research features. - Functional search and analysis interface (e.g., Streamlit, Looker, or simple web app). - Documentation and basic user guide. - 1–2 weeks of support after delivery. How to Apply: Please include in your proposal: - Your experience with BigQuery and Machine Learning projects. - Any relevant work with financial or time-series data (even if not bonds). - A short description of how you would approach this project. - Estimated timeline and budget quote. Summary: Candidates with solid BigQuery + ML skills and some familiarity with financial data will be prioritized. Looking forward to your proposal!