System Analyst - Data (Banking Domain)

Job Summary

We are looking for an experienced System Analyst with strong background in data and banking domain. The role involves working closely with business and technical teams to design, deliver, and support data and analytics solutions.

Key Responsibilities

• Gather and analyze business and regulatory requirements
• Translate requirements into data and system solutions
• Work across full SDLC (design, testing, implementation, support)
• Collaborate with data engineers, architects, and stakeholders
• Perform data validation, reconciliation, and quality checks
• Identify risks, issues, and ensure timely delivery
• Support production issues and root cause analysis

Strong experience in System Analysis (8+ years)

FUNCTIONAL SKILLSETS

Analytics Domains

Financial Crime Analytics

Transaction Monitoring, Customer Due Diligence, Sanctions & Payments Screening

Finance & Credit Risk Analytics

Financial reconciliation, Allocation, Performance management, Regulatory and Management reporting, Credit risk exposure, NPL, Counterparty risk, Basel & IFRS9 input variables

Enterprise Data, Analytics & Unstructured Data Enablement

Proven experience delivering large-scale analytics platforms within financial services spanning structured, semi structured, and unstructured data

• Strong capability in requirements analysis and functional design for analytics use cases involving Transactional data, Investigator narratives, Case notes and alerts, Policy & Customer communications documents

• Experience defining data quality, governance, lineage, and reconciliation controls for both structured and NLP-derived datasets

TECHNICAL SKILLSETS

Certifications

At least two relevant technical certifications across data platforms, cloud, or analytics technologies.

Data Platforms & Architecture

• Open table formats: Apache Iceberg, Delta Lake, Apache Hudi

• Distributed processing & query engines: Spark, Trino/Presto, Hive

• Cost optimization strategies: tiered storage, lifecycle management, workload governance

Programming & Analytics

• SQL, BTEQ, GCFR

• Python (Pandas, NumPy)

• BI & visualization tools: Power BI, QlikSense

Data Integration & Quality

• Informatica suite: PowerCenter, BDM, IDQ, Enterprise Data Catalogue

• Data ingestion patterns: batch, CDC, streaming

• Data validation, quality controls, and reconciliation frameworks within environments

Governance, Risk & Compliance

• Data modelling, critical data elements, regulatory reporting

• Fine-grained data access controls (row-level, column-level, masking)

• Metadata management, lineage, and impact analysis

• Compliance with BCBS 239, MAS, AML/CFT, and internal data standards

Big Data Platforms

• Cloudera Hadoop distribution: Hive, Impala, Spark, Iceberg, Trino