11 quantitative risk analyst jobs at 7 companies in San Francisco, CA
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Staff Fraud Risk Analyst
Mountain View, California, United States
$177k-$239k/yrOnsiteFull Time
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
6+ YOEBachelor’s degree in a quantitative discipline, 6+ years of fraud risk analytics and management experience, risk modeling expertise, strong analytical and communication skills, and proficiency with SQL, SAS, Python, R, and Tableau.
OpenAI: Develops artificial intelligence models and generative AI software services.
3+ YOE3+ years in quantitative intelligence or risk research, experience with statistical modeling and data mining, familiarity with trust & safety domains, and strong communication and critical thinking.
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
12+ YOE4+ MgmtRequires 12+ years in lending or fintech, strong credit risk expertise, analytical and communication skills, and an MS or PhD in a quantitative field; 4+ years managing risk analysts and data scientists is a plus.
Prosper: Peer-to-peer lending marketplace for personal loans and credit.
2+ YOE2+ years managing credit risk, fraud, or data science in consumer lending; strong SQL and Python skills; experience with DBT and Looker a plus; Bachelor's degree in quantitative field preferred; strong analytical and communication skills.
Poshmark: Social marketplace for buying and selling secondhand fashion.
6+ YOEQuantitative degree plus 8+ years (or advanced degree plus 6+ years) in fraud/risk/analytics; strong SQL, experience with large transactional datasets; Python/R preferred; fraud/marketplace risk expertise; experimentation and stakeholder communication skills.
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
5+ YOE5+ years relevant experience (or MS/PhD with 2+ years); degree in quantitative field; strong analytics, fraud risk and payments knowledge; proficiency with SQL, Microsoft Excel, Python or R; experience designing experiments and risk policies.
TikTok: Global short-form video hosting and social media platform.
1+ YOEBachelor's in a quantitative field,1+ years internet risk management experience,proficiency with SQL and/or Python,practical AI/LLM knowledge,ability to structure ambiguous risk problems,fluency in English and Mandarin.
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
5+ YOE5+ years relevant experience, fraud prevention preferred; advanced SQL and coding, experience with Hive, Databricks, Python, Tableau, Excel/GSheets; strong communication and analytical skills; bachelor\u0002s in quantitative field or equivalent.
SQL, Python, Tableau, Databricks, Hive, Microsoft Excel, GSheets
Sr Analyst, Supply Chain Risk & Network Visibility
Sunnyvale, California, United States
$122k-$176k/yrOnsiteFull Time
IntuitiveNASDAQ: ISRG: Robotic-assisted systems for minimally invasive surgery.
4+ YOE4+ years supply chain/operations/analytics experience; bachelor's in a quantitative field; experience with Excel, SQL, Tableau/Power BI, ERP/SAP, supplier data and API/EDI integrations; strong analytics, data governance, and cross-functional collaboration skills.
Microsoft Excel, SQL, Tableau, Microsoft Power BI, SAP, iValua, Everstream Analytics, Altana, Prewave, APIs, EDI, Python, R, ERP
United States or Canada or Columbus or Austin or San Francisco or New York City or Quebec
$76-$89/hrRemoteContract
UpstartNasdaq: UPST: AI-powered lending marketplace for consumer and automotive loans.
6+ YOEBachelor's in a quantitative field (or equivalent), 6+ years credit or risk analytics experience, advanced SQL, data validation/reconciliation/testing experience, spreadsheet modelling experience.
Intelligence Analyst, Global Trend Detection - Trust and Safety
San Francisco, California, United States
$97k-$180k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
Proven experience managing complex risk portfolios, strong quantitative analysis, AI/tooling and data analytics experience, stakeholder management, and deep understanding of global online harms.