Vantage Lumber

www.vantagelumber.com

1 Job

4 Employees

About the Company

Vantage Lumber combines real trading experience with proprietary and modern technology to give customers sharper pricing, more reliable supply, and faster execution working directly with partners in all verticals of the building industry across North America to provide a seamless flow of SPF, DF, and SYP. With constant price discovery and real market insight at the core of what we do our team brings value to every trade—blending physical and futures market expertise to help customers manage risk, increase mills liquidity, and align supply with real demand.

Listed Jobs

Company Name: Vantage Lumber
Job Title: Junior Quantitative Developer & Trader
Job Description: Job Title: Junior Quantitative Developer & Trader Role Summary: Begin as a data engineer building the data layer and end as an active trader on a commodity futures desk. The role evolves from developing backend integrations and analytics to designing and operating hedging platforms, ultimately leading to full desk ownership and team leadership. Expectations: - 0–3 years of relevant experience (fresh graduates welcome). - Progress from software development to trading execution, gaining direct P&L responsibility. - Demonstrate self‑direction in ambiguous, data‑heavy environments. Key Responsibilities: - Own the data infrastructure: ingest, clean, and store market and internal data. - Build and maintain ETL pipelines and backend services using Python and SQL. - Develop and deploy internal analytics tools (e.g., FastAPI/Flask, React/Streamlit). - Design and implement hedging strategies for lumber futures and other commodity derivatives. - Execute trades, monitor system performance, and troubleshoot production issues. - Expand trading scope to additional commodities and scale operations. - Lead new hires and mentor junior team members as the desk grows. Required Skills: - Proficiency in Python (Pandas, NumPy, SQL). - Experience with SQL databases and ETL pipeline construction. - Familiarity with cloud platforms (GCP or AWS). - Ability to work with unstructured/messy data. - Strong problem‑solving skills and independence. - Interest in commodity markets and willingness to learn trading fundamentals. Required Education & Certifications: - Bachelor’s degree in Computer Science, Mathematics, Physics, Statistics, Engineering, or related quantitative field. - Finance or trading certification not required.