At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
We are looking for a Quantitative Developer to join Schwab Asset Management’s (SAM) Thematic Investing team, which is responsible for the systematic, data-driven thematic investing products. The team develops Natural Language Processing models, explores alternative data, and builds portfolio construction algorithms and backtest engines. As part of the research team, the quantitative developer will be an integral part of the investing process, implementing the models and infrastructure that power the investment products.
The Thematic Investing team is part of SAM’s Quantitative Innovation team, which provides research support for SAM equity and fixed-income offerings, including Schwab Personalized Indexing (the firm’s direct indexing offer) and Multi-Asset Research. Working closely with portfolio managers, technology partners, and product and sales teams, the research team is an integral part developing and delivering top-quality research and investment product. This is a great opportunity for moving to a quant role on the buy-side.
Key job responsibilities will include, but not be limited to:
- Developing both exploratory analysis and production code, primarily in Python, for analyzing data, backtesting investment strategies and monitoring existing products
- Applying data science, including Natural Language Processing and data engineering, to process and analyze unstructured data to provide investment insights
- Maintaining large-scale financial data and applying risk models to build equity investment strategies
- Collaborating closely with engineers and researchers to turn research ideas into production code and investing products