Lead Report Developer - Finance and Trading Analytics

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS) is seeking a Report Developer to design, develop, and deploy reports for a stock trading system.

You will work closely with business analysts to translate requirements into technical solutions and ensure accuracy, compliance, and timely delivery across UAT and production deployments. The role requires strong PySpark/SQL data transformation skills, ETL concepts, and hands-on experience with SSRS, Power BI, or Tableau.

Qualifications

• 3–7 years IT development experience, preferably in banking or financial services with report development focus.
• Minimum 3 years of report development experience with proven delivery.
• Experience leading a team of at least 6 members in IT projects.

Responsibilities

• Collaborate with business teams to gather and validate reporting requirements.
• Understand data source mapping and transformation logic.
• Design and implement ~100 reports using agreed tools and frameworks.
• Ensure reports meet business requirements and comply with BANK'S standards.
• Prepare test cases and validate reports during UAT.
• Address defects and implement fixes promptly.
• Execute production deployment following BANK'S change management processes.
• Maintain rollback plans and deployment documentation.
• Work with Bank's teams for access to systems and environments.
• Provide regular updates and utilization reports as required.

Skills

PySpark

SQL

ETL

UAT

Stakeholder mgmt

Education

Bachelor's degree in CS/IT

Tools

SSRS

Power BI

Tableau

Job description

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS) is seeking a Report Developer to design, develop, and deploy reports for a stock trading system.

You will work closely with business analysts to translate requirements into technical solutions and ensure accuracy, compliance, and timely delivery across UAT and production deployments. The role requires strong PySpark/SQL data transformation skills, ETL concepts, and hands-on experience with SSRS, Power BI, or Tableau.