Lead Business Analyst - Asset Management Data & Reporting

EPAM Systems Inc; Chennai, Coimbatore District, Jaipur; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

EPAM Systems Inc in Chennai, India, seeks a Lead Business Analyst for Asset Management Data & Reporting to strengthen upstream data quality and interface standardization within a Finance/IT program.

You will translate reporting needs for AUM, flows, revenues, and disclosures into testable requirements and verified results across Finance SMEs, architecture, and IT delivery squads.

Qualifications

• 5+ years in senior business analysis within Agile delivery.
• Experience producing FRD/BRD artifacts and decomposing needs.
• Strong data analysis, data lineage, and interface catalog familiarity.

Responsibilities

• Analyze upstream landscape: map sources, formats, frequency, and controls.
• Maintain data lineage to SIMSnew outputs and an interface catalog.
• Gather requirements, set acceptance criteria, align business rules.
• Collaborate with architecture and IT delivery teams for design clarity.
• Develop BRDs, user stories, process maps, and sign-off packs.
• Run workshops to resolve data definition uncertainties and ownership.
• Manage RAID logs and ensure traceability across teams.
• Specify control descriptions and acceptance criteria for finance audits.
• Assist with subsystem transition strategy and platform migrations.
• Set data schedules for daily, weekly, and monthly cycles.
• Rework business processes and approval workflows.

Skills

Requirements gathering

BRD/FRD artifacts

Stakeholder mgmt

Workshop facilitation

Data analysis

SQL proficiency

Education

Bachelor's degree in IT/IS

Job description

We are looking for a Lead Business Analyst - Asset Management Data & Reporting to strengthen upstream data quality and interface standardization in a Finance/IT program. You will work across Finance SMEs, architecture, and IT delivery squads to turn reporting needs for AUM, flows, revenues, and disclosures into testable requirements and verified results.

Responsibilities

• Analyze the upstream landscape by mapping sources, formats, frequency, and controls, and define concepts such as static vs market vs fund valuation data
• Maintain data lineage to SIMSnew outputs and keep current an interface catalog, upstream data catalog, data definitions, lineage notes, and an open questions log
• Gather and organize business and data requirements, set acceptance criteria, and align business rules across stakeholders
• Collaborate with architecture and IT delivery teams to clarify intent, edge cases, and dependencies to support solution design
• Develop BRDs, user stories, process maps, decision logs, and sign-off packs
• Run workshops to resolve uncertainty in data definitions and ownership, creating decision logs and explicit ownership/RACI structures
• Manage cross-workstream dependencies using RAID logs, confirm assumptions, and preserve traceability across teams
• Specify control descriptions and acceptance criteria that meet Finance quality, auditability, and evidence requirements
• Assist with subsystem transition strategy, including platform migrations, and coordinate related dependencies
• Set data schedules and snapshot needs for daily, weekly, and monthly cycles, accounting for month-end flash vs actual reporting windows
• Rework business processes, approval workflows, and the associated control frameworks

Requirements

• Broad IT experience with at least 5+ years focused on senior business analysis in Agile delivery environments
• Strong track record in gathering requirements, producing FRD/BRD artifacts, decomposing needs, prioritizing work, and managing sign-offs
• Advanced skill in data and interface analysis, including source-to-target mappings, investigation of data quality issues, and reconciliation logic
• Practical familiarity with interface catalogs, data dictionaries, and documenting data lineage
• Domain knowledge of asset management Finance data and reporting concepts, including AUM, flows, and revenue components
• Working proficiency in SQL and common data analysis techniques
• Clear understanding of Finance reporting controls, including evidence and auditability requirements
• Effective workshop facilitation skills with the ability to align multiple teams and resolve conflicting priorities
• Independent, self-driven working style with strong ownership for driving analysis activities end to end