Senior Test Automation Engineer – Python (Trading / Risk Platforms)

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Senior Test Automation Engineer – Python (Trading / Risk Platforms)

Experience :

12+ years

Fulltime

Chicago, IL, 60691

Note: Candidates must have experience testing backend systems / APIs; UI-only automation profiles will not be considered.

CRISIL helps businesses, banks, investors, and governments make informed decisions by analyzing

risk, markets, and data

.

We are looking for a Senior Test Automation Engineer with strong experience in

Python-based test automation

, supporting backend systems, APIs, and data workflows within

capital markets / risk / trading environments

. The role focuses on building scalable automation frameworks and ensuring quality across large technology change programs.

Key Responsibilities

• Design and develop

automation frameworks and test suites using Python

• Automate testing of

backend systems, APIs, and data pipelines

• Validate

data processing, transformations, and business logic

across systems

• Work closely with

developers, BAs, and business teams

to understand requirements and define test scenarios

• Build and execute

automated test scripts for functional, integration, and regression testing

• Support

UAT and release cycles

, ensuring high-quality delivery

• Identify defects, perform

root cause analysis

, and support resolution

• Contribute to

test strategy and automation best practices

across programs

Must-Have Skills

• Strong experience in

Python-based test automation

• Experience with

automation frameworks (PyTest, Robot Framework, or similar)

• Strong experience in

API testing (REST APIs, JSON validation)

• Strong

SQL skills

for data validation and testing

• Experience in

test case design, execution, and defect management

• Understanding of

CI/CD pipelines (Jenkins, Git, etc.)

Domain Experience (Important)

• Exposure to

Capital Markets / Investment Banking environments

• Experience or understanding of:

• Trading systems / Risk platforms / Data pipelines

• Familiarity with financial concepts such as:

• Trade lifecycle, risk data, reporting workflows

Good-to-Have

• Experience in

data validation and ETL testing

• Exposure to

performance or volume testing

• Basic understanding of

Python scripting beyond testing

• Experience working in

Agile environments

• Exposure to

event-driven systems (Kafka, messaging)