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Job Description
Structured overview of role & requirementsAbout This Role
Lead and participate in initiatives managing treasury balance sheet risks related to liquidity, foreign exchange, and interest rate mismatches.
Design, develop, and maintain scalable Python-based data pipelines and backend services for financial reporting and analytics.
Ensure data quality, regulatory compliance, and delivery of accurate treasury risk management reporting and analytics.
Minimum Requirements
4+ years of Treasury experience or equivalent demonstrated via work, training, military, or education.
Strong hands-on experience in Python development, SQL, data modeling, and ETL frameworks.
Experience with cloud platforms (AWS, GCP, or Azure) and tools like BigQuery, Airflow, or Databricks.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field (desired but treated as material).
Ideal Candidate Profile
Experienced Python developer with strong background in data engineering in banking or financial services domain, especially treasury risk and regulatory reporting.
Ability to work independently with moderate supervision on moderately complex initiatives involving balance sheet management and risk analysis.
Skilled in collaborating with cross-functional teams including data scientists, analysts, management, and external partners to deliver actionable data solutions.