Data Analyst_MAS Regulatory Reporting

RADIANT DIGITAL SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading financial services firm is seeking a Data Analyst to analyze large datasets and support strategic decision-making. Ideal candidates should have extensive experience in banking, strong data management skills, and the ability to communicate findings effectively. This role entails collecting and validating data, performing quantitative analysis, and ensuring compliance with reporting standards.

Qualifications

• Minimum 8 years of experience as a Data Analyst, ideally in banking.
• Familiarity with statistical analysis tools (Python, R) preferred.
• Good understanding of corporate banking products.

Responsibilities

• Collect, clean, and validate data from banking systems.
• Perform analysis on corporate banking portfolios.
• Work with stakeholders to identify business needs.

Skills

Analytical skills

Communication skills

Problem-solving skills

Critical thinking

Education

Bachelor’s degree in relevant fields

Tools

Python

R

Job description

Overview

Data Analyst – Corporate Banking

Role Overview

We are seeking a highly analytical and detail-oriented Data Analyst to be part of us. The role will focus on analysing large datasets, generating actionable insights, and supporting strategic decision-making. The ideal candidate will have strong data management skills, financial domain knowledge (Preferably Regulatory Reporting, Risk and Compliance in a corporate banking products), and the ability to communicate findings in a clear, business-oriented manner.

Responsibilities

• Collect, clean, and validate data from multiple banking systems (e.g., loan management, treasury, trade finance, payments).
• Perform quantitative and qualitative analysis on corporate banking portfolios, including lending, deposits, trade finance, and treasury products.
• Work with stakeholders to identify business needs and translate them into data-driven solutions.
• Conduct trend, variance, and scenario analysis to support pricing, profitability, and client segmentation.
• Ensure compliance with data governance, quality, and regulatory reporting standards.
• Partner with technology teams to improve data pipelines, automate reporting, and implement advanced analytics use cases.

Required Skills & Qualifications

• Bachelor’s degree in data science, Statistics, Economics, Finance, Computer Science, or a related field.
• Minimum 8 years of experience as a Data Analyst, ideally within banking or financial services.
• Familiarity with statistical analysis tools (Python, R) preferred.
• Good understanding of corporate banking products (loans, deposits, trade finance, treasury, payments).
• Knowledge of risk, compliance, and regulatory reporting frameworks in banking.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication skills to translate technical data into business insights.

Preferred Attributes

• Experience in data warehousing, ETL, or big data platforms (Ex: Snowflake, Hadoop, Spark).
• Exposure to machine learning techniques for credit/risk scoring or client segmentation.
• Strong business acumen with an ability to connect data insights to revenue, cost, and risk drivers.
• Ability to work in cross-functional teams within a fast-paced banking environment