Associate Software Engineer - Python, Data & Visualization

NOMURA SINGAPORE LIMITED

Singapore

On-site

SGD 100,000 - 140,000

Full time

6 days ago

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Job summary

Nomura Singapore Limited is seeking an Associate Software Engineer to develop Python-based applications and data pipelines for financial workflows. You will perform ETL with Pandas, build automated reporting (HTML emails), and ensure data integrity.

You will write clean code, conduct tests, and participate in code reviews in an Agile setting. You will create visualizations with Matplotlib/Seaborn/Plotly, collaborate with business teams to translate requirements, and stay current with AI-assisted

Qualifications

Degree in Computer Science, Computer Engineering, Information Systems, or related discipline.
Minimum 4 years' experience as a Software Engineer in the financial sector with front end development using React or similar frameworks for UI development.
Minimum 4 years' experience in Python scripting with a minimum of 2 years in production environments.
Experience with data manipulation, strong expertise in Pandas for data transformation, cleaning, and analysis.
Working knowledge of Git and collaborative development workflows.
Experience with libraries like Matplotlib, Seaborn, or Plotly to create clear visualizations.
SQL: Proficiency in database querying and data extraction (e.g., PostgreSQL, Oracle).
Testing & Documentation: Experience with unit testing frameworks (e.g., pytest, unittest) and writing maintainable code documentation.
Git: Working knowledge of version control systems and collaborative development workflows
Claude Code: Basic exposure to AI-assisted coding tools and workflows
Data Processing: Experience with data extraction, cleaning, ETL pipelines, and data quality management
HTML Email Generation: Experience converting Pandas DataFrames to HTML format and sending formatted email reports
Problem-Solving: Strong analytical skills to debug and optimize code.
Communication: Ability to articulate technical concepts to non-technical stakeholders.
Email Automation: Working knowledge of Python email libraries (smtplib, email module) for automated report distribution

Responsibilities

Develop, test, and maintain Python-based applications and data processing pipelines for financial data workflows.
Perform data extraction, transformation, and loading (ETL) using libraries like Pandas, ensuring data integrity and quality.
Design and implement automated reporting systems, including: Conversion of Pandas DataFrames to HTML for email distribution; Integration with email automation tools (smtplib, email module).
Write clean, efficient, and well-documented code, adhering to team standards and version control (Git).
Conduct unit testing (e.g., pytest, unittest) and participate in code reviews to maintain high-quality outputs.
Create insightful data visualizations (e.g., Matplotlib, Seaborn, Plotly) to communicate trends and insights to stakeholders.
Collaborate with business teams to translate requirements into technical solutions.
Work within Agile/Scrum teams to deliver projects on time and within scope.
Contribute to knowledge sharing and best practices for software development and data engineering.
Stay updated on emerging technologies (e.g., AI-assisted tools, cloud platforms) to drive innovation.
Adhere to Nomura's technology policies, including security protocols and data governance.
Escalate risks or issues proactively in line with the firm's 'Risk Culture' (Challenge, Escalate, Respect).