{"id":2485539,"url":"https://alion.io/job/schwab-jobs-director-quantitative-software-engineer","title":"Director, Quantitative Software Engineer","company":{"id":2930000,"name":"Charles Schwab","domain":"schwabjobs.com","url":"https://alion.io/company/schwabjobs","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"head","employment_type":null,"work_mode":"on_site","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":null,"salary_estimate":{"min_usd":155000,"max_usd":312000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":103},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Julia","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:14:41Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-18T13:57:19Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"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, financial planning, and wealth management. Within Schwab Asset Management Technology, you will help advance the platforms, data, and research capabilities that power investment insights and product innovation.\nAs a Director, Quantitative Software Engineer - Research Lead, you will partner closely with quantitative researchers, investment professionals, and technology teams to accelerate research, model development, and product delivery. You will solve complex technical challenges, design scalable research and data platforms, and transform innovative investment concepts into production-ready solutions. Success in this role requires strong collaboration, analytical thinking, adaptability, and technical leadership as you help build reusable capabilities that improve research effectiveness, support data-driven decisions, and enable the delivery of differentiated investment products across the enterprise.\nWhat you have\nRequired Qualifications:\nBachelor's degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related technical field, or equivalent practical experience\n8+ years of software engineering experience developing quantitative applications, research platforms, or data-intensive solutions using Python and/or similar languages such as R, Julia, or MATLAB\nExperience partnering directly with quantitative researchers, portfolio managers, or investment professionals\nExperience designing, building, and supporting scalable data pipelines and analytical platforms\nKnowledge of quantitative research workflows, including data acquisition, model development, backtesting, validation, and deployment\nExperience designing data models, data integration solutions, and data storage architectures\nExperience developing data visualization and analytical tools that support research and decision-making\nExperience implementing data governance, lineage tracking, monitoring, and data quality controls\nExperience balancing research flexibility with enterprise standards for reliability, reproducibility, security, and supportability\nExperience with modern software engineering practices, source control, automated testing, containerization, CI/CD, and deployment automation\nDemonstrated ability to lead complex technical initiatives and thrive in ambiguous environments\nStrong verbal and written communication skills\nPreferred Qualifications:\nAdvanced degree in Computer Science, Engineering, Mathematics, Quantitative Finance, or a related field\nExperience productionizing quantitative models and research methodologies supporting investment products\nExperience building reusable platforms, frameworks, libraries, or shared services\nExperience applying AI/ML, generative AI, distributed computing, or cloud-native technologies to research and analytics challenges\nExperience influencing technology strategy through investment industry and market insights\nExperience developing visualization, exploratory analytics, or decision-support solutions\nDemonstrated track record of innovation and continuous improvement\nExperience mentoring engineers, researchers, or other technical professionals\nAbility to communicate complex quantitative and technical concepts to diverse audiences\nDemonstrated integrity, sound judgment, and discretion when handling sensitive information\nIn addition to the salary range, this role is eligible for bonus or incentive 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