{"id":2077631,"url":"https://alion.io/job/american-express-manager-financial-systems-3","title":"Manager-Financial Systems","company":{"id":2209,"name":"American Express","domain":"americanexpress.com","url":"https://alion.io/company/american-express","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":99,"open_postings":57,"ghost_share":0,"stale_share":0.088,"repost_share":0.263,"time_to_fill_p50_days":8,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Finance","role_family":"Finance","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"Tableau","optional":false},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"closed","first_seen_at":"2026-10-08T08:32:15Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-26T21:23:49Z","board_verified":false,"closed_at":"2026-10-26T21:23:49Z","days_open":18,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":17},"description":"The Regulatory Reporting Quality Assurance (RRQA) team is responsible for providing governance and oversight of AMEX’s regulatory reporting processes, with a focus on proactively identifying risks and control improvement opportunities to ensure reports remain accurate, complete, and compliant. This is achieved through Quality Assurance reviews, which include the following pillars:\nProcess and controls testing\nValidation of reported data against regulatory instructions\nDetailed analysis and testing of underlying data to ensure data quality.\nThis work is increasingly enabled by continuous monitoring and advanced analytics to enhance risk identification and coverage. The team partners closely with Regulatory Report owners, Technology, Data Governance, and other stakeholders to strengthen the control environment, drive timely remediation, and evolve capabilities through the use of innovative tools, including emerging analytics and GenAI solutions.\n Participate as a key member of the RRQA Analytics & Insights team by leading the identification, prioritization, development, and implementation of analytics that strengthen the Regulatory Reporting Quality Assurance (RRQA) program. A QA Manager - Analytics & Insights will help shape the team's analytics strategy while remaining actively engaged in the design and development of high-value analytical solutions. This role will elevate the team's analytics capabilities by leveraging data, emerging technologies (e.g., GenAI), and innovative approaches to deliver proactive insights and improve quality assurance effectiveness.\nThe ideal candidate will have a strong understanding of financial services processes, system infrastructure, and risk and control frameworks, along with demonstrated analytical, problem-solving, and leadership skills. Specific responsibilities include:\nIdentify and prioritize regulatory reporting risk and control areas where analytics can enhance QA effectiveness, improve testing coverage, and advance overall program maturity.\nPartner with QA leadership and business stakeholders to translate strategic priorities, business risks, controls, and data into a prioritized analytics roadmap and actionable requirements.\nLead the design and development of complex analytics while providing technical guidance and oversight for analytics developed by team members.\nDrive the delivery of analytics that generate impactful, forward-looking insights and enable more proactive, risk-based quality assurance.\nEstablish and promote analytics best practices, development standards, documentation, and governance to ensure solutions are scalable, sustainable, and well controlled.\nEvaluate the effectiveness and business impact of analytics initiatives, identifying opportunities to enhance testing efficiency, automate manual activities, and strengthen QA outcomes.\nAssess and incorporate emerging technologies, advanced analytics techniques, and GenAI capabilities to continuously evolve the team's analytical capabilities and drive innovation.\nBuild strong partnerships with regulatory reporting, technology, data governance, service management, and other stakeholders to influence priorities, facilitate data access, and promote adoption of analytics solutions.\nLead, coach, and develop team members by fostering analytical thinking, technical capabilities, and a culture of continuous learning and innovation.\n Minimum Qualifications\n3+ years of relevant experience in quality assurance, audit, risk management, technology, and/or data analytics within financial services\nExperience applying data analytics to support quality assurance, audit, risk management, and/or financial services.\nHands-on experience with data visualization and business intelligence tools (e.g., Tableau, Power BI, or similar).\nAbility to translate business objectives, risks, controls, and processes into analytical requirements and actionable insights.\nExperience partnering with business and technology stakeholders to understand requirements and deliver data-driven solutions.\nStrong analytical and problem-solving skills, with the ability to break down complex issues and recommend practical, actionable solutions.\nStrong written and verbal communication skills, including the ability to clearly communicate analytical findings and complex quantitative information to a variety of audiences.\nProficiency in Microsoft Excel and PowerPoint.\nBachelor’s degree in a quantitative or other relevant field (e.g., Analytics, Finance, Accounting, Statistics, Engineering, Computer Science, Information Systems).\nPreferred Qualifications\n5+ years of relevant experience in quality assurance, audit, risk management, technology, and/or data analytics within financial services.\n3+ years of hands-on experience designing, developing, and implementing analytics that support quality assurance, audit, risk management, regulatory reporting, or other financial services functions.\nExperience with programming and data querying languages such as SQL, Python, or similar.\nExperience developing scalable analytics, dashboards, automated reporting, and/or continuous monitoring solutions.\nFamiliarity with emerging technologies (e.g., GenAI) and their application to data analytics, quality assurance, and risk management.\nDemonstrated ability to identify analytical opportunities, manage multiple priorities, and deliver high-impact solutions in a dynamic, evolving environment.\nExperience leading analytics initiatives or cross-functional projects, including coordinating stakeholders and developing team members.\nAdvanced degree in a quantitative or related field\nRelevant professional certifications (e.g., CPA, CIA, CISA, CAP, or analytics/technology-focused 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