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Your Opportunity

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.

Schwab Wealth & Asset Management Engineering (WAME) Technologyis part of the Schwab Technology Services (STS) organization supporting Schwab's Research, Investment management, and Trading platforms to provide products, advice and services to institutional and retail clients manage investments.

Our team—Investments, Credit and Trading Technology team—is essentially the front-office for Schwab Asset Management that continues to harness the state-of-the-art technologies for differentiating Schwab portfolio research, asset & wealth management. The team has won several industry awards such as the “Best IT Team of the Year” and the “Asset Manager Digital Tool of the Year”.

Be part of a high performing that plays a key role in co-developing investment models, defining the technology strategy, designing investment management and trading systems, and delivering to high engineering standards.

What you'll do :

This is a Quant Developer role managing the software development lifecycle including the coordination, prioritization and communication across the business product areas. It will include building and realizing the strategy for the teams to support the dynamic needs of the WAME business.

The role includes the hands-on development role, building a client driven technology organization. The role entails full Agile — designs / develops software solutions and business process solutions based on business needs. Lead application components of moderate complexity, with guidance from manager. Provide technical design input in overall project. Focus on quality based on Schwab’s standards.

What you have

Required Qualifications :

This role requires a highly motivated, organized and experienced business focused technology individual with a proven record of software quality assurance to a front office investment management business.

• Required : A university degree from a well-respected academic institution; advanced degrees in Information management, Computer Science, Business Administration and / or other professional certifications are a plus
• Required : Experience in financial industry developing quantitative models
• Required : At least 3 years’ experience building software in Python or R. Strong proficiency in Python, MongoDB or other SQL / no-SQL database, Time-series data, Plotly / charting
• Required : At least 3-years of professional experience
• Required : Recent experience working in Agile teams

Preferred Qualifications :

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

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