Bond Price Research System Development

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!