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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