{"id":3977343,"url":"https://alion.io/job/jpmorganchase-chasenet-data-scientist","title":"ChaseNet Data Scientist","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":88,"open_postings":1016,"ghost_share":0.009,"stale_share":0.628,"repost_share":0.048,"time_to_fill_p50_days":15,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"closed","first_seen_at":"2026-11-05T21:44:25Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-12T09:58:33Z","board_verified":false,"closed_at":"2026-11-12T09:58:33Z","days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"About ChaseNet\nChaseNet is JPMorganChase's proprietary closed-loop payments network that connects Chase-issued cardholders directly with merchants acquired by Chase Merchant Services. By routing eligible transactions through a single Chase-owned rail rather than the traditional open-loop network, ChaseNet simplifies the economics of card acceptance, enables customized pricing constructs, and delivers richer transaction data to both merchants and the firm. ChaseNet supports some of the largest merchants in the United States and plays a central role in Chase's merchant services growth strategy.\nAs a ChaseNet Data Scientist, Associate in the ChaseNet Analytics team, you will work with large and complex payments datasets to generate insights that inform pricing strategy, merchant profitability, portfolio performance, and strategic decision-making.\nJob Responsibilities\nManage, transform, and analyze large payments datasets to support ChaseNet pricing, profitability, and portfolio optimization initiatives.\nDesign, build, and maintain recurring and ad-hoc reporting that provides visibility into ChaseNet performance, revenue drivers, and merchant economics.\nDevelop analytical frameworks and models to evaluate pricing scenarios, interchange impacts, repricing opportunities, and merchant business cases.\nPartner with product, pricing, finance, and relationship management teams to translate business questions into structured analyses and clear recommendations.\nWrite efficient, well-documented SQL and Python code to extract, process, and analyze data from large-scale payments platforms.\nSupport governance, quality control, and process improvement across analytics workflows, including automation and documentation.\nCommunicate findings clearly to both technical and non-technical audiences through written narratives, visualizations, and presentations.\nContribute to innovation initiatives, including the use of AI and emerging technologies to improve analytical capabilities and decision support.\nRequired qualifications, capabilities, and skills:\nUndergraduate degree with 3+ years of experience \nUnderstanding of SQL-based coding and Python.\nConsulting orientation with the ability to influence both internal and external business partners.\nUnderstanding of the payments value chain, including merchants, brands, acquirers, networks, and issuers.\nProven experience working in large teams in an advanced analytical environment.\nProven experience with emerging technologies related to insights and the ability to do rapid prototyping (in Tableau).\nAbility to synthesize data sets into streamlined, clear, and actionable messages.\nExperience creating business initiatives and communicating ideas with a digitally focused and data-driven mindset.\nProven ability to develop relationships with a wide array of partners, executives, and customers.\nPreferred qualifications, capabilities, and skills:\nAI/ML and automation skills, AI/ML solutions creation, and software engineering skills preferred.\nExperience in the payments industry and/or technology-enabled industries (preferred but not required).\nWorking knowledge of the credit card value chain, including the roles of issuers, acquirers, networks, processors, and merchants.\nFamiliarity with network fees and interchange economics, including how interchange categories, assessments, and network-level fees are structured.\nFamiliarity with processing fees and merchant pricing constructs such as interchange-plus, blended pricing, and tiered pricing.\nManage, transform, and analyze large payments datasets to support ChaseNet pricing, profitability, and portfolio optimization initiatives.\nDesign, build, and maintain recurring and ad-hoc reporting that provides visibility into ChaseNet performance, revenue drivers, and merchant economics.\nDevelop analytical frameworks and models to evaluate pricing scenarios, interchange impacts, repricing opportunities, and merchant business cases.\nPartner with product, pricing, finance, and relationship management teams to translate business questions into structured analyses and clear recommendations.\nWrite efficient, well-documented SQL and Python code to extract, process, and analyze data from large-scale payments platforms.\nSupport governance, quality control, and process improvement across analytics workflows, including automation and documentation.\nCommunicate findings clearly to both technical and non-technical audiences through written narratives, visualizations, and presentations.\nContribute to innovation initiatives, including the use of AI and emerging technologies to improve analytical capabilities and decision support.\n Experience Requirements\nUndergraduate degree required; MBA preferred.\nUnderstanding of SQL-based coding and Python.\nConsulting orientation with the ability to influence both internal and external business partners.\n3+ years of experience in the payments industry and/or technology-enabled industries (preferred but not required).\nUnderstanding of the payments value chain, including merchants, brands, acquirers, networks, and issuers (preferred but not required).\nProven experience working in large teams in an advanced analytical environment.\nProven experience with emerging technologies related to insights and the ability to do rapid prototyping (in Tableau).\nAbility to synthesize data sets into streamlined, clear, and actionable messages.\nExperience creating business initiatives and communicating ideas with a digitally focused and data-driven mindset.\nProven ability to develop relationships with a wide array of partners, executives, and customers.\nPreferred Knowledge\nAI/ML and automation skills, AI/ML solutions creation, and software engineering skills preferred.\nWorking knowledge of the credit card value chain, including the roles of issuers, acquirers, networks, processors, and merchants.\nFamiliarity with network fees and interchange economics, including how interchange categories, assessments, and network-level fees are structured.\nFamiliarity with processing fees and merchant pricing constructs such as interchange-plus, blended pricing, and tiered pricing.\nExposure to ChaseNet or other closed-loop or on-us payment 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