Application Development:

• Design, develop, and test Python-based applications for business needs such as credit risk assessment, trading platforms, and data pipelines.
  

API Development:

• Build and integrate APIs to connect with other systems and enhance data intelligence.
  

Data Analysis and Reporting:

• Conduct data analysis, create reports, and implement data-driven solutions.
  

Risk Management:

• Develop and maintain Python applications for credit risk assessment and collaborate with risk teams.
  

Collaboration and Communication:

• Work closely with business stakeholders, data scientists, and other developers to gather requirements, provide updates, and ensure successful project delivery.
  

Technical Design and Implementation:

• Contribute to technical design and solution implementation, ensuring scalability, maintainability, and alignment with business strategies.
  

Code Review and Mentorship:

• Participate in code reviews and mentor junior developers to maintain code quality standards.
  

Agile Methodologies:

• Utilize Agile project management practices for efficient delivery.
  

Performance Monitoring and Optimization:

• Ensure application performance, quality, and responsiveness, including monitoring and optimizing database queries and system performance.
  

Strong Python programming expertise.

Experience with APIs, data pipelines, and database optimization.

Familiarity with credit risk or financial applications is a plus.

Strong analytical, problem-solving, and communication skills.

Experience in Agile development environments.

Ability to mentor and guide junior developers.

Bachelor’s degree in Computer Science, Engineering, or related field.