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Salary
≈ $16k – $31k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026. NTT DATA scores A on the Alion truth index.

Overview
Company
Impact
Profile match
NTT DATA is a Tokyo system integrator founded in 1988 that spun out of the data communications arm of NTT. It is one of the largest information technology services firms in the world, building banking, public sector and payment systems and operating global consulting and managed services. The company runs the CAFIS payment network used across Japanese retail and banking.
Backed by Pamlico Capital

India T&M Special Bonus:

Senior Business Analyst JD:

Role Overview

We are seeking an experienced Senior Business Analyst with 8+ years of experience in Investment Banking, Wealth Management, and Investment Accounting. The ideal candidate will bring strong expertise in business analysis, stakeholder engagement, accounting platforms, data migration, system integration, and Source-to-Target Mapping (STTM).

The candidate will act as a bridge between business and technology teams, lead business discussions and requirements workshops, and support transformation initiatives involving portfolio accounting, investment operations, and wealth management platforms.

Key Responsibilities

  • Lead business discussions, discovery workshops, and requirements-gathering sessions with business stakeholders, subject matter experts, operations teams, product owners, architects, and technology teams.
  • Elicit, analyze, document, validate, and prioritize business and functional requirements.
  • Prepare and maintain Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), use cases, process flows, business rules, user stories, acceptance criteria, and traceability artifacts.
  • Develop and maintain Source-to-Target Mapping (STTM) documents for data migration, conversion, and system integration initiatives.
  • Perform source-data analysis, data lineage assessment, field-level mapping, transformation-rule definition, reconciliation, and target-data validation.
  • Conduct current-state and future-state process analysis, gap analysis, impact assessment, and dependency analysis.
  • Collaborate with architects, developers, data engineers, QA teams, vendors, and business users throughout the project lifecycle.
  • Support UAT planning, test-case review, execution coordination, defect triage, business validation, and sign-off.
  • Participate in platform migration, data conversion, system modernization, and operational transformation programs.
  • Ensure delivered solutions align with investment accounting, reporting, reconciliation, risk, control, and operational requirements.

Required Skills and Experience

Domain Expertise

  • Investment Banking and Wealth Management
  • Investment Accounting and Portfolio Accounting
  • Securities processing, custody, and asset servicing
  • Trade lifecycle, positions, transactions, cash, and corporate actions
  • Financial reporting, general ledger, reconciliation, and operational controls

Platform Experience

Strong experience with one or more of the following platforms:

  • SEI Wealth Platform
  • FIS AddVantage
  • Schwab platforms
  • LPL Financial systems
  • TCS BaNCS
  • Addepar

Business Analysis and Stakeholder Skills

  • Requirements elicitation, analysis, documentation, validation, and management
  • Ability to lead structured business discussions with stakeholders and translate business needs into clear, actionable requirements
  • Stakeholder management across business, operations, product, technology, data, and vendor teams
  • Business process modelling, functional specifications, use cases, user stories, gap analysis, and impact assessment
  • Excellent written and verbal communication, workshop facilitation, presentation, and negotiation skills

Data, Mapping, and Integration Skills

  • Source-to-Target Mapping (STTM), including field-level mapping, transformation logic, defaulting rules, reference-data lookups, and validation criteria
  • Data migration, conversion, lineage, profiling, cleansing, validation, and reconciliation
  • Interface and integration analysis across upstream and downstream systems
  • Working knowledge of ETL concepts, APIs, batch interfaces, files, databases, and data warehouses
  • SQL querying, advanced Excel, and data analysis skills

Tools and Delivery Methodologies

  • JIRA and Confluence
  • Microsoft Excel, Word, and PowerPoint
  • Agile / Scrum and Waterfall delivery methodologies
  • Requirements traceability, RAID management, and SDLC governance
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