Senior Python Developer

Crisil; Gurugram District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Crisil is seeking a seasoned data engineer to handle complex datasets for financial institutions. You will transform time series data using Python and libraries like Pandas/Numpy, convert Excel-based models into Python, and collaborate with business units to document requirements.

Strong Python proficiency with data wrangling experience is essential. Experience with SQL/Snowflake is a plus. This role emphasizes building auditable, well-documented workflows for financial analytics.

Qualifications

• Proficient in Python for data transformation and modeling.
• Experience turning complex Excel models into auditable Python code.
• Ability to write well-documented, reproducible Python code for data workflows.

Responsibilities

• Partner with business teams to gather requirements and translate them into technical specs.
• Write Python code to transform time series data and implement logic from Excel models.
• Develop maintainable, auditable data pipelines and documentation.

Skills

Python

Pandas

Numpy

Matplotlib

Tools

SQL

Snowflake

Job description

• 6+ years of technical experience across varied projects handling complex, heavy data sets, specifically for financial institutions (banks, asset managers, investment banks)
• Must-have: Python, Pandas, Numpy, Matplotlib
• Good to have: SQL, Snowflake
• Should be able to comprehend complex Excel financial models, and break it down into manageable components
• Can partner closely with business to specify and understand requirements, ask questions, write down goals & tech specs in documentation
• Prior experience writing complex logic in Python to transform time series data; please note PySpark is not a substitute for Python for this requirement
• Can write auditable, well documented Python code that replicates the logic in an Excel model as well as for business needs to transform data