Automation Test Lead

Job Description :

Automation Testing for Financial Instruments Using TestComplete & Python

Experience :

Sr Resource (10+ years of Experience )

Jr Resource ( 6-8 years of Experience )

Location : Bangalore India.

The office location is Capco Office : Sajapur Area Bangalore. Initially it will be remote. But the company may mandate for 3 days in office next year.

1.2 Objective

To design, develop, and maintain an end-to-end automation testing framework and regression suite using TestComplete and Python for critical financial applications that support trading, processing, and reporting of Equity, Fixed Income, and Complex Derivative instruments.

1.3 Financial Instruments in Scope

Equities (e.g., stocks, ETFs)

Fixed Income (e.g., corporate bonds, government bonds, T-bills)

Complex Derivatives (e.g., options, swaps, futures, credit default swaps, structured products)

1.4 Modules / Functional Areas Covered

Trade Order Capture and Validation

Trade Lifecycle Events (e.g., execution, settlement, corporate actions)

Pricing and Valuation Engines

Risk and Compliance Checks

Position and PnL Reports

Market Data Feeds and Integration Testing

UI Components (dashboards, trade blotters, reconciliation tools)

Static and Reference Data Validation (e.g., instrument master)

1.5 Tools & Technologies

Automation Tool : TestComplete (using Python and / or JScript)

Scripting Language : Python 3.x

Test Management : TestRail / Zephyr / Jira

CI / CD : Jenkins / Azure DevOps / GitHub Actions

Source Control : Git, Bitbucket

Reporting : TestComplete native reports, Allure (optional)

Data Validation : SQL, Pandas, Excel (for comparison logic)

Description

Test Automation Strategy Document

Outlining framework, tools, scope, coverage, and roadmap

Test Framework

Hybrid framework (keyword + data driven) in TestComplete using Python

Automated Test Scripts

Scripts for trading, pricing, risk workflows across all instruments

Data Management Utilities

Python scripts for test data generation and result validation

Regression Suite

Full automated regression pack for core trading scenarios

CI / CD Integration

Automation hooks in

Jenkins / Azure pipelines

Test Reports

Execution logs, defect summary, screenshots, and detailed result reports

Maintenance Plan

Monthly / quarterly updates for framework and test cases

Resource Skill Sets :

Core Technical Skills for

Python Software Engg with Automation Experience with Test Complete

1. Core Technical Skills

Python Development

Proficient in Python 3.x

Solid understanding of :

Object-Oriented Programming (OOP)

Exception handling and logging (logging, traceback)

Writing reusable, modular code

Familiar with :

REST API consumption using requests or httpx

Working with JSON, CSV, and Excel

Data analysis using pandas (basic level)

Version control with Git

TestComplete – Functional & UI Automation

Hands-on experience with :

Recording and enhancing scripts using Python / JScript / VBScript

Creating and maintaining

keyword-driven

and

data-driven

tests

Object identification using Name Mapping and Object Spy

Dynamic object handling and synchronization strategies

Test Execution :

Batch runs, distributed testing, and test logs

Reporting & defect logging integration (e.g., Jira, TestRail)

Integration :

TestComplete with CI / CD tools (e.g., Jenkins, Azure DevOps)

Git for test scripts and configurations

2. Financial Domain Awareness

General understanding of :

Financial transactions, account management systems

Trade lifecycle or payment processing workflows

Regulatory compliance sensitivity (e.g., PII, audit trails)

Exposure to testing :

Banking portals or internal trading apps

Financial reports & dashboards

Secure login / authentication flows

3. Automation Testing Practices

Strong grasp of :

Test case design : positive, negative, boundary cases

Test planning, execution, and defect lifecycle

Regression and smoke testing

Working knowledge of :

PyTest or unittest for API / backend validation

JSON / XML validation, API assertions

Test data management (mocking, stubbing, masking)

Strong problem-solving and debugging skills

Detail-oriented test execution and documentation

Collaboration with QA leads, developers, and business analysts

Willingness to learn finance-specific logic and business flows

Good verbal and written communication (especially for defect reporting and documentation)