Hiring: Data Scientist Company: Torentify Location: Tempe, AZ Job Posted Time: 2026-09-16 23:05:32 Employment Type: Hybrid Target Skills & Keywords : Python, SQL, Stakeholder Management About the job Experience: •*Additional Locations:** Dallas, TX or Atlanta, GA considered •*Onsite Requirement:** 4 days onsite, Monday–Thursday. •*Work Authorization:** U.S. Citizens and Green Card holders only. Required Skills: •Harnham is seeking a **Lead Data Scientist** to work on financial risk modeling within a highly regulated environment. This is a hands-on, Lead-level individual contributor role focused on quantitative modeling, financial and credit datasets, and delivering measurable business outcomes. •The successful candidate will independently own complex Data Science initiatives from problem definition through development, validation, implementation, and measurement of business impact. The role also involves presenting technical work to senior stakeholders and supporting external model audits. •Build, evaluate, and validate quantitative models supporting financial and risk decisions. •Develop models using Python, SQL, statistical techniques, and gradient boosting approaches. •Interface directly with large-scale financial, credit, payment, and behavioral datasets. •Own complex Data Science initiatives from problem definition through implementation. •Translate model performance into measurable financial and dollar impact. •Develop and validate credit risk, loss probability, behavioral, or comparable financial models. Qualifications: •*8+ years** of Data Science, quantitative modeling, or closely related experience. •Significant finance and risk modeling experience within a regulated industry. •Advanced Python and SQL skills. •Strong statistical and mathematical foundation. •Deep data modeling and quantitative modeling experience. •Demonstrated capacity to independently own modeling projects end-to-end. •Strong communication and presentation skills. •Demonstrated capacity to connect model outputs to measurable financial impact. •Undergraduate degree in Mathematics, Statistics, Economics, Computer Science, Quantitative Engineering, or another strongly quantitative discipline. •Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another quantitative discipline. Compensation: •$140,000 - $150,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!