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:
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Developing both exploratory analysis and production code, primarily in Python, for analyzing data, backtesting investment strategies and monitoring existing products
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Applying data science, including Natural Language Processing and data engineering, to process and analyze unstructured data to provide investment insights
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Maintaining large-scale financial data and applying risk models to build equity investment strategies
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Collaborating closely with engineers and researchers to turn research ideas into production code and investing products
Required Qualifications:
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2+ years of experience developing software and data systems
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Experience with object-oriented Python and demonstrated ability to write clean, maintainable and robust production code
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Bachelor’s, Master’s or PhD degree in Computer Science, Financial Engineering, Financial Mathematics, Statistics or another highly quantitative field
Preferred Qualifications:
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Firm grasp of applied statistical concepts and techniques, including probability, regression and time series analysis
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Experience with financial data and systematic investing strategies
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Driven, self-motivator with attention to detail
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Intellectual curiosity and strong problem solving and critical thinking skills
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
At Schwab, we’re committed to empowering our employees’ personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you’ll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
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401(k) with company match and Employee stock purchase plan
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Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
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Paid parental leave and family building benefits
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Tuition reimbursement
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Health, dental, and vision insurance