Senior Python Developer – Capital Markets

Mployee.me; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Mployee.me is seeking a Senior Python Developer with deep Capital Markets experience to join our team in Pan India. You will work on large financial datasets, ensuring data integrity across front-to-back systems and downstream processes.

The role requires strong Python, Pandas/NumPy skills, and hands-on data reconciliation expertise. Ideal candidates have 7–13 years of experience, work in an Agile setting, and can contribute across Front Office, Middle Office, and Back Office data flows.

Qualifications

• 7–8 years of hands-on Python development experience.
• Strong experience with Pandas and NumPy for data analysis and processing.
• Understanding of data reconciliation processes and data types.
• Familiarity with front-to-back trade lifecycle and trading ecosystem.
• Proven analytical and problem-solving skills to resolve data discrepancies.
• Experience in Agile delivery environments.
• Financial Services / Capital Markets domain experience.
• Exposure to trading platforms, risk, operations, settlements or reconciliation.

Skills

Python development

Pandas/NumPy

Data reconciliation

Trade lifecycle awareness

Analytical/problem solving

Agile delivery

Capital Markets/FS domain

Trading platforms exposure

Data quality validation

Large datasets handling

Job description

Role: Senior Python Developer – Capital Markets

Experience: 7.5 to 13 years

Location: Pan India – 4 days WFO

Immediate Joiners Only

Must Have Skills

• 7-8 years of hands-on Python development experience.
• Strong experience with Pandas and NumPy for data analysis and data processing.
• Good understanding of data reconciliation processes and associated data types.
• Understanding of the front-to-back trade lifecycle and trading ecosystem, including Front Office, Middle Office, Back Office, and downstream systems.
• Strong analytical and problem-solving skills with the ability to investigate and resolve data discrepancies.
• Experience working in Agile delivery environments.
• Financial Services / Capital Markets domain experience.
• Exposure to trading platforms, risk, operations, settlements, or reconciliation processes.
• Experience working with large datasets and data quality validation.

We need someone with Trading or FS experience