Job Description

Key Responsibilities


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Collect, clean, and validate data from multiple banking systems such as loan management, treasury, trade finance, and 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 data quality, consistency, and compliance with reporting standards. Collaborate 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 5 years of experience

as a Data Analyst, ideally within

banking or financial services

. Strong understanding of

corporate banking products

(loans, deposits, trade finance, treasury, payments). Proficiency in

SQL

and familiarity with

Python or R

for statistical analysis. Good knowledge of

risk, compliance, and regulatory reporting

in banking. Strong analytical, problem-solving, and critical-thinking skills.



Preferred Attributes


------------------------

Experience with

data warehousing, ETL, or big data platforms

(e.g., Snowflake, Hadoop, Spark). * Exposure to

machine learning techniques

for credit/risk scoring or client segmentation.

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Job Detail

  • Job Id
    JD1618807
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    SG, Singapore
  • Education
    Not mentioned