{"id":1603355,"url":"https://alion.io/job/charles-schwab-quantitative-software-engineer-research-platform","title":"Quantitative Software Engineer - Research Platform","company":{"id":5314,"name":"Charles Schwab","domain":"schwab.com","url":"https://alion.io/company/charles-schwab-inc","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"A","score":100,"open_postings":60,"ghost_share":0,"stale_share":0.1,"repost_share":0.1,"time_to_fill_p50_days":8,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Julia","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"GCP","optional":true},{"name":"Machine Learning","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-18T13:37:07Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":19},"description":"Your opportunity\nAt 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 believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).\nSchwab Technology Services enables the future of how clients manage their money by delivering innovative and reliable technology solutions that support investing and financial planning. Within Schwab Asset Management Technology, this role helps power the research, analytics, and investment capabilities that support clients, advisors, and investment professionals.\nAs a Quantitative Software Engineer - Research Platform, you will help shape Schwab’s research technology ecosystem by building scalable data, analytics, and platform capabilities that accelerate quantitative research and product innovation. Working closely with researchers, engineers, product owners, and business partners, you will solve complex data and technology challenges, enable data-driven decision-making, and create reusable solutions that improve efficiency, speed to market, and platform adoption across investment disciplines. This role offers the opportunity to influence strategic platform direction while delivering technology that supports investment research and actionable client insights.\nWhat you have\nRequired Qualifications:\nBachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering, or a related technical discipline, or equivalent practical experience.\n6+ years of software engineering experience developing data-intensive applications, analytical platforms, or quantitative systems using Python and/or similar languages such as R, MATLAB, or Julia.\nExperience partnering with researchers, analysts, product owners, or business stakeholders to deliver data-driven technology solutions.\nExperience designing, developing, and supporting scalable data pipelines and data platforms for structured and unstructured datasets.\nProficiency designing and implementing data models for efficient storage, integration, retrieval, and analysis.\nExperience implementing data quality controls, monitoring, governance, lineage, and observability practices.\nExperience developing software capabilities that support quantitative research, analytics, or other data-intensive workloads.\nExperience applying modern software engineering and CI/CD practices, including source control, automated testing, containerization, and deployment automation.\nExperience building automated testing frameworks for integration, regression, and data validation testing.\nExperience developing data visualizations, dashboards, and analytical tools that enable actionable insights.\nExperience collaborating within Agile and DevOps environments across engineering, product, architecture, and governance teams.\nPreferred Qualifications:\nAdvanced degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related technical discipline.\nExperience with cloud-native data platforms and architectures; Snowflake and/or Google Cloud Platform (GCP) experience preferred.\nExperience building distributed data processing, streaming, or large-scale analytics solutions.\nExperience developing reusable platforms, frameworks, libraries, or shared services.\nExperience supporting quantitative investment research, model development, portfolio analytics, backtesting, or investment management workflows.\nExperience analyzing large, complex datasets to identify meaningful insights and opportunities.\nExperience developing self-service analytics, visualization, and researcher productivity tools.\nExperience implementing model lifecycle management, monitoring, observability, and risk-control frameworks.\nExperience applying machine learning, generative AI, or advanced analytics capabilities to business problems.\nAbility to influence technology strategy, architecture decisions, engineering standards, and platform direction.\nStrong verbal and written communication skills with technical and non-technical audiences.\nDemonstrated commitment to innovation, experimentation, and continuous improvement.\nIn addition to the salary range, this role is eligible for bonus or incentive opportunities.\nWhat’s in it for you\nAt Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. 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