Source description
About the role
Job Responsibilities:
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Design, build, and maintain internal tools and applications to support middle-office functions (e.g., trade capture, PnL reconciliation, position reporting).
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Collaborate with operations, risk, compliance, and portfolio management teams to gather requirements and translate them into scalable technology solutions.
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Automate and improve workflows across trade lifecycle processes.
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Develop and maintain data pipelines to ingest, transform, and store financial data from various sources (e.g., market data, trading platforms).
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Build and optimize data models for analytics, risk, and reporting use cases.
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Ensure high data quality, integrity, and availability across systems.
Qualifications
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Bachelor's or Master’s degree in Computer Science, Engineering, Finance, or a related field.
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2-3 years of experience as a developer or data engineer in a financial services environment.
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Strong programming skills in Python, with experience in libraries like Pandas, NumPy, or PySpark.
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Experience with SQL and relational databases (e.g., PostgreSQL, SQL Server, or similar).
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Familiarity with middle-office systems, trade lifecycle, and reconciliation workflows.
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Experience with ETL tools or building custom data pipelines.
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Knowledge of version control (e.g., Git), CI/CD pipelines, and development best practices.
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