OPEN ROLE — VIA SYMPHONI HR

Python Developer.

MumbaiHybrid4–6 yearsPosted 2026-09-10

This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.

About the organisation.

Our client is a leading global provider of analytics, research, and risk solutions serving the financial services sector. With a strong international presence, they empower institutions to make informed decisions through data-driven insights and sophisticated financial modeling. They foster a collaborative, innovation-led culture that values technical excellence and professional growth.

About the role.

We are seeking a skilled Python Developer to join a high-impact team focused on building and maintaining robust financial applications. You will work on complex data processing pipelines and pricing models, ensuring high performance and scalability within an investment banking environment. This role offers the opportunity to leverage advanced technical skills to solve critical challenges in the financial services domain.

What you will do.

  • Design, develop, and maintain high-performance Python applications for financial data processing.
  • Implement and optimize complex pricing models to support investment banking operations.
  • Develop and maintain RESTful APIs to facilitate seamless system integration.
  • Utilize PySpark for large-scale data manipulation and analysis.
  • Perform code reviews and ensure adherence to best practices in software engineering.
  • Optimize application performance and data structures for efficiency.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Automate routine tasks and system processes using Bash scripting in Unix/Linux environments.

What you bring.

  • 4–6 years of professional experience in software development with a focus on Python.
  • Strong proficiency in Core Python, Pandas, and NumPy.
  • Solid understanding of data structures and performance optimization techniques.
  • Experience in developing and consuming RESTful APIs.
  • Hands-on experience with PySpark and large-scale data processing.
  • Proficiency in Unix/Linux environments and Bash scripting.
  • Domain knowledge in Investment Banking or financial services is essential.
  • Strong analytical and problem-solving skills with the ability to work in a hybrid environment.
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