Quantitative Software Engineer - Python

Your Opportunity

At Schwab, you’re empowered to make an impact on your career. Here,innovative thought meets creative problem solving, helping us “challenge thestatus quo” and transform the finance industry together.

We are looking for a Quantitative Software Engineer who is passionate about technology and the experiences it can create to join our Research and Analytics development team within the Wealth and Asset Management (WAM) Engineering organization. (WAM) Engineering is a part of Schwab Technology Services that is responsible for Schwab's wealth, advice, investment management, and research platforms. Everything that WAM Engineering builds serves Schwab’s mission of helping clients reach their financial goals.

This is an opportunity to work as a hands-on technologist focused on a variety of innovative quantitative research and investment initiatives, creating reliable, scalable, and advanced solutions to help our clients take ownership of their financial futures. You’ll support investment models, analytics, and reporting products while collaborating with product, business, and technology partners. If you’re looking to bring your expertise to a firm that will provide consistent challenges, promoting development and ownership of your career, this is the role for you.

What you have

Required Qualifications:

• Bachelor’s degree in Computer Science or related field
• Hands on experience gained through 2-3+ years in a software development role.
• Experience with application development technologies used for quantitative model research and development (e.g. Python or R).
• Knowledge of quantitative investment processes and financial datasets
• Familiarity with SQL and NoSQL database technologies (e.g. MongoDB, BigTable, DynamoDB).
• Familiarity with distributed data processing architectures and tools (e.g. Spark, Dask, Ray)

Preferred Qualifications

• Experience delivering data platform modernization efforts in an investment management or other financial services organization.
• Experience with analytics dashboard visualization apps using Python, e.g. Plot.ly Dash.
• Experience leveraging continuous integration/development tools (e.g. Jenkins, Docker, Containers, OpenShift, Kubernetes, and container automation) in a Ci/CD pipeline.
• Ability to work independently and also collaborate with all types of stakeholders, both technical and business, peers, and leaders
• Ability work in a fast-paced environment and contribute to multiple projects simultaneously
• Strong problem solving and critical thinking skills
• Ability to quickly grasp complex concepts and learn new technologies
• Strong customer focus with a sense of ownership and determination to drive solutions in a collaborative environment