{"id":2962176,"url":"https://alion.io/job/jpmorganchase-lead-software-engineer-analytics-python","title":"Lead Software Engineer Analytics - Python","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":92,"open_postings":1083,"ghost_share":0.007,"stale_share":0.477,"repost_share":0.061,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":178000,"max_usd":358000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1150},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"Databricks","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-05-07T17:52:00Z","employer_posted_date":"2026-05-07","last_verified_at":"2026-10-23T11:48:31Z","board_verified":true,"closed_at":null,"days_open":168,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":168},"description":"Tech - Lead Software Engineer, 603 (SWES04)\nCarry out critical tech solutions across multiple technical areas as an integral part of an agile team\nDescription for Internal Candidates\nWe have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\nAs a Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk Technology Analytics Team, you are an integral part of a fast-paced agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives.\nJob responsibilities\nExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\nDevelops secure high-quality production code, and reviews and debugs code written by others\nIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\nLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\nLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\nProvide guidance to junior software engineers\nAdds to team culture of diversity, opportunity, inclusion, and respect\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 7+ years applied experience.\nHands-on practical experience delivering system design, application development, testing, and operational stability\nAdvanced in coding in Python\nExperience coding in Java\nProficiency in automation and continuous delivery methods\nProficient in all aspects of the Software Development Life Cycle\nAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\nDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\nIn-depth knowledge of the financial services industry and their IT 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