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We are looking for senior Python Developers with strong experience in trading and risk management systems within investment banking.
The role involves building backend applications and data processing logic supporting risk calculations, trade workflows and reporting.
We are a leading, agile, and innovative global analytics company driven by our purpose to make markets function better. We are a bold organization powered by deep expertise, unparalleled analytics and relentless innovation. We collaborate seamlessly to deliver mission critical insights thereby instilling & amplifying client’s success.
Drive growth with a strong sense of purpose.
Create lasting impact that affects individuals, businesses, and the society at large.
That's what 'Life@Crisil' is all about.
This is where you unlock the next chapter of your career - fueled by our caring culture which encourages you to learn and innovate, an environment that fosters positivity through our people-first approach and an attractive rewards & benefits program that puts your growth in the spotlight. An inspiring setting where you will find the brightest minds, inspiring you to unleash your potential.
Crisil is a place where your ideas and opinions are always welcome, and continuous learning is the norm. Because we know that’s what it takes to solve the biggest real-world challenges and move the needle in the direction of unexplored future possibilities. All without compromising on our strong ethics.
So go ahead. Unlock the next chapter of your career.
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We are looking for senior Python Developers with strong experience in trading and risk management systems within investment banking. The role involves building backend applications and data processing logic supporting risk calculations, trade workflows and reporting.
Key Responsibilities
Develop and enhance Python-based applications for trading and risk use cases
Build data processing pipelines and automation scripts for trade, risk and reconciliation workflows
Work with large financial datasets to support PnL, risk and reporting requirements
Contribute to system design, architecture and scalability decisions
Collaborate with quants, traders and risk teams to translate business requirements into technical solutions
Develop and integrate REST APIs and backend services
Ensure high code quality and test coverage
Participate in code reviews and mentor junior developers where required
Must-Have Skills
Strong experience in Core Python development
Strong exposure to enterprise-grade front-office trading and risk platforms (e.g., Quartz, SecDB, Athena, Kanon, Beacon or equivalent), with integration across pricing, risk and trade lifecycle workflows
Strong SQL skills with ability to handle complex queries and large datasets
Experience with Python libraries (Pandas, NumPy) for data processing
Experience building RESTful APIs/services (Flask / FastAPI / Django)
Strong understanding of data structures and performance optimization
Experience working with large-scale data processing and performance optimization
Working knowledge of Unix / Linux environments and basic shell scripting
Domain Experience (Critical)
Experience working in Investment Banking / Capital Markets environments
Hands-on exposure to:
Market Risk / CCR / PnL / Trade lifecycle / Reconciliation
Understanding of financial products such as:
Derivatives (swaps, futures, options), bonds
Good-to-Have
Exposure to PySpark or large-scale data processing
Experience working with quants or pricing models
Basic scripting (Unix / Bash)
Prior experience in global banking environments
Note: Candidates without capital markets / risk / trading domain experience will not be suitable for this role
9 to 15 years
Global provider of credit ratings, research, and analytics services.
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