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JP Morgan Chase - Associate - Data & Analytics - Fund Accounting

J.P. Morgan•Mumbai
Full-timeMid Level
👁️ 0 views•📝 0 applications•Posted 9/22/2026•Expires 10/27/2026
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Job Description

About the role: Are you looking for an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area? This is a unique opportunity for you to work in the fund accounting analytics team to partner with the business. As a Data & Analytics - Fund Accounting - Associate within Global Fund Services (GFS) supporting APAC Fund Accounting operations and the change agenda, you will promote data-analytics-led operational excellence across processes, controls, and reporting. You will build and maintain operational MI/KPIs, dashboards, and governance packs to track productivity, breaks, aging, SLA adherence, and risk hotspots, while establishing data quality checks and monitoring routines to enhance accuracy, consistency, and auditability. Job Responsibilities: - Build and maintain operational MI/KPIs, dashboards, and governance packs to track productivity, breaks, aging, SLA adherence, and risk hotspots. - Perform root-cause analytics on breaks, exceptions, and reconciliations to identify systemic drivers and prioritize fixes. - Establish data quality checks and monitoring routines to improve accuracy, consistency, and auditability of reporting. - Partner with Operations, Controls, and Technology to define data definitions, metric logic, and source-of-truth alignment. - Identify high-impact opportunities to eliminate manual steps and reduce operational risk through automation and analytics. - Translate business problems into structured requirements/user stories; support solution design, UAT, implementation readiness, and adoption. - Develop and/or coordinate workflow automation/RPA and low-code solutions, ensuring fit-for-purpose design and resilience. Ensure solutions embed strong controls: audit trails, evidence retention, maker-checker, access controls, exception handling, and clear runbooks. - Manage cross-functional initiatives impacting operations, controls, and reporting: scope, milestones, RAID, dependencies, and delivery outcomes. - Apply structured change management practices (stakeholder mapping, comms/training plans, adoption tracking) to ensure sustainable outcomes. - Create and maintain SOPs, desk procedures, quick reference guides, and knowledge repositories with version control. Track training completion and proficiency; identify capability gaps and drive targeted upskilling. - Create executive-ready PowerPoint decks and narrative updates (context - insight - impact - action) using operational data. Standardize reporting templates and storytelling constructs to improve consistency and stakeholder clarity across APAC. Required Qualifications: - Qualification: CA / MBA / Post Graduate with minimum 4 years of relevant experience in data analytics, operations transformation, automation, MI/reporting, or project delivery within financial services. - Hands-on or strong working knowledge of analytics and low-code/automation products, including Alteryx (data preparation, workflow-based analytics), Tableau (dashboarding, KPI visualization, user-facing MI), and UI Path (RPA / automation design and delivery support). - Strong analytical skills: ability to work with datasets, define metrics, analyze trends/outliers, and drive decisions with evidence. - Strong foundation in accounting/process controls (ability to interpret reconciliations, breaks, operational risk indicators, and control evidence). Preferred Qualifications: - Prior exposure to Fund Accounting / GFS / NAV generation cycle (pricing, accruals, FX, reconciliations, corporate actions impact, validations, NAV packs). - Capital markets knowledge (equities, fixed income, FX; derivatives exposure a plus). - Any additional experience with Python, SQL, Excel Power Query/Power Pivot, or similar tooling is beneficial. - Experience building dashboards and operational reporting packs for governance. - Certifications such as Lean Six Sigma / PMP / Agile fundamentals (nice to have). Location: Mumbai. Note: For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.

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