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Quantitative Software Engineer - Python - Hybrid

Company: Charles Schwab
Location: San Francisco
Posted on: May 2, 2025

Job Description:

Position Type: RegularYour 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. -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 haveRequired Qualifications:

Bachelor's degree in Computer Science or related fieldHands 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 datasetsFamiliarity 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 leadersAbility work in a fast-paced environment and contribute to multiple projects simultaneouslyStrong problem solving and critical thinking skillsAbility to quickly grasp complex concepts and learn new technologiesStrong customer focus with a sense of ownership and determination to drive solutions in a collaborative environmentIn addition to the salary range, this role is also eligible for bonus or incentive opportunities.
What's in it for youAt 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 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 that takes care of the whole you - both today and in the future:
  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance

Keywords: Charles Schwab, Watsonville , Quantitative Software Engineer - Python - Hybrid, IT / Software / Systems , San Francisco, California

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