Job Description/Responsibilities

Job Title: Technical Business Data Analyst

Work Location: ~Mumbai

Skill Required: Digital : Microsoft Power BI~Digital : Microsoft Power Platform~PL/SQL

Experience Range : 6-8Years

Job Description:

Fraud and Financial Crime Technology Platform (FFCP)

1. The FFCP team is responsible for the platform that enables the bank’s Fraud and Financial Crime detection and investigation capabilities.

2. These span three core areas: Client Screening against watchlists, Transaction Monitoring for suspicious activity, and Fraud detection.

3. We are currently modernising our landscape by replacing legacy systems with a combination of in-house solutions and new vendor platforms.

4. Central to this transformation is the sourcing, quality and flow of data that powers our detection engines and investigations workflows.

5. This role spans analysis, documentation, data modelling, operational support and delivery coordination across the Entity Screening domain.

Key Responsibilities

· API Understanding and Data Mapping

o Analyse and document all public-facing APIs used across the platform, including data models, endpoints and payload structures.

o Perform detailed data mapping between API payloads and Investec’s internal client and entity data models.

o Identify data gaps, transformation rules and dependencies, and produce clear, structured requirements for engineers to remediate them.

· Data Sourcing and Integration

o Define and document requirements for the migration from CSV-based flat-file inputs to automated data products, including ownership, update frequency, lineage, and data quality controls.

o Support engineers with requirements clarifications in data products.

· Non-functional and control requirements

o Define non-functional requirements covering data availability timings, performance expectations, reconciliation requirements, and the handling of data breaks.

o Document business processes for exception handling, reconciliations and data-quality-related operational steps.

· Business Process analysis

o Analyse, review and document business processes and workflows across Fraud and Financial Crime operations.

o Document system configuration requirements, including alert management rules, detection thresholds, workflow steps and user permissions.

o Provide input into operational processes and user experience, ensuring alignment with business needs.

· Delivery support

o Collaborate with engineers, product owners, compliance teams and vendors to ensure delivery aligns with requirements, expectations and timelines.

o Support testing, validation and acceptance activities, including test case definition and data validation.

Skills & Experience

· Proven experience as a Business Analyst or Data Analyst on data-centric technology implementations, ideally within Financial Crime, Transaction Monitoring, Client Screening, KYC or AML domains.

· Practical experience querying relational databases using SQL, including proficiency with tools such as SQL Server Management Studio.

· Ability to interrogate and test APIs using tools like Bruno or Postman, including constructing requests, analysing payloads, and validating responses.

· Understanding of Azure concepts, particularly data products, data pipelines, storage accounts, API management and DevOps delivery practices.

· Strong understanding of data models, API structures and data integration concepts, including JSON, REST APIs and data pipelines.

· Ability to translate technical data flows and system behaviour into clear, actionable business requirements.

· Familiarity with non-functional and control requirements such as timeliness, completeness, reconciliation, lineage and auditability.

· Experience documenting business processes and supporting configuration or user interface workflow design.

· Excellent stakeholder engagement and communication skills across business, technology and vendor teams.

Desirable

· Experience with screening solutions such as Dow Jones Risk & Compliance, Actimize, or similar.

· Knowledge of client data models within banking or financial services.

Skills

• Analysis
• Banking
• Communication
• Configuration
• Data Mapping
• Documentation
• Management
• Monitoring
• SQL
• SQL Server
• Structures
• Testing
• Tools