- Intuit (Mountain View, CA)
- …field.** + **8-10+ years** **of experience in** **credit loss forecasting, credit risk analytics , or** ** quantitative finance, with increasing ... role is ideal for an experienced forecasting or credit analytics professional who thrives in a fast-paced, data-driven environment...responsibility.** + Demonstrated expertise in **loss modeling , economic drivers of credit risk , and… more
- Intuit (Mountain View, CA)
- …and incredibly fun team, then we encourage you to apply. A Staff credit risk lead will play a critical part in driving business growth through the following ... responsibilities: + Lead new lending business initiatives from a credit risk strategy perspective, bringing innovative ideas to optimize processes, maximize customer… more
- Intuit (Mountain View, CA)
- …in understanding our portfolio health and ensure our portfolios are meeting risk adjusted expectations through in-depth research + Leverage insights on credit ... risk performance and macroeconomic trends to drive recommendations for...as credit bureau attributes and scoring, customer acquisition, scorecard modeling , loan amount assignment, pricing, loss forecasting, or collections… more
- Intuit (Mountain View, CA)
- …causal analysis, and natural language processing. + Deep understanding of fraud risk modeling concepts, including fraud score calibration, label bias correction, ... and hands-on Staff AI Scientist to join our Consumer Risk Data Science team. In this role, you'll develop...cross functionally (with executives, engineering, policy & rules, product, analytics , operations and other AI science teams) to ensure… more
- Intuit (Mountain View, CA)
- …causal analysis, and natural language processing. + Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse ... and hands-on Staff AI Scientist to join our Consumer Risk AI Science team. In this role, you'll develop...cross functionally (with executives, engineering, policy & rules, product, analytics , operations and other AI science teams) to ensure… more
- AECOM (Sacramento, CA)
- …risks using qualitative and quantitative methods, including risk modeling , scenario analysis, and data analytics + Assess financial, operational, legal, ... world. Join us. **Job Description** **AECOM** is seeking a ** Risk Cost Analyst** to be based in **Sacramento, CA**...be based in **Sacramento, CA** . **JOB SUMMARY:** The Risk Cost Analyst will provide best practices to identify… more
- Intuit (Mountain View, CA)
- …Hadoop is a plus. + Domain Knowledge: Strong knowledge of credit risk -related concepts, including credit bureau attributes, scorecard modeling , loss forecasting, ... proactively identify opportunities for enhancement across all customer touchpoints, from credit risk to the overall product experience, and drive these ideas from… more
- The County of Los Angeles (Los Angeles, CA)
- …12 semester or 18 quarter units of coursework in data science, predictive analytics , quantitative research methods, or statistical analysis. -AND- Two (2) years ... included 12 semester or 18 quarter units of coursework in data science, predictive analytics , quantitative research methods, or statistical analysis. - AND - A… more
- Walmart (Sunnyvale, CA)
- …This includes data analysis, advanced statistics, case investigation and application of advanced modeling techniques to manage risk on the ecommerce platform. We ... risk detection systems at scale. + **Lead Deep-Dive Analytics ** to inform risk policy, product decisions,...Applications** for synthetic data generation, anomaly simulation, or scenario modeling to improve risk model robustness. +… more
- Walmart (Sunnyvale, CA)
- …This includes data analysis, advanced statistics, case investigation and application of advanced modeling techniques to manage risk on the ecommerce platform. We ... risk detection systems at scale. + **Lead Deep-Dive Analytics ** to inform risk policy, product decisions,...Applications** for synthetic data generation, anomaly simulation, or scenario modeling to improve risk model robustness. +… more