Quantitative Technology & Trading Automation Associate

Neo Wealth and Asset Management; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Neo Wealth and Asset Management in Mumbai, India, seeks a proficient Python data analytics professional to analyse historical stock market and derivatives data, develop back-testing frameworks, and automate MIS reporting. You will translate trading ideas into testable quantitative strategies and work across backend data processing and frontend dashboards.

The role focuses on building automated data pipelines, enhancing trading infrastructure, and crafting reliable, scalable analytics solutions

Qualifications

• Strong Python for data analysis, automation, and handling large datasets.
• Experience with historical market data and back testing frameworks.
• Proficient with pandas, NumPy, and related Python tools.
• Knowledge of databases and querying structured market data.
• Experience automating reports, MIS, and data workflows.
• Familiarity with APIs and code for API-based order execution.
• Ability to modify existing front-end code and dashboards.
• Strong problem-solving ability and willingness to learn.

Responsibilities

• Analyse historical stock market and derivatives data using Python.
• Build, test, and improve trading and investment strategies from the firm’s data.
• Develop back testing frameworks evaluating returns, drawdowns, and risk metrics.
• Collaborate with investment and trading teams to translate ideas into testable strategies.
• Automate MIS and data reporting; build dashboards for portfolio monitoring.
• Develop and maintain order-execution systems and related checks and logging.
• Maintain backend data processing and frontend visualisation dashboards.

Skills

Python

Back testing

Pandas

NumPy

Databases

Automation

APIs

Frontend dashboards

Problem solving

Tools

SQL

Broker APIs

Trading APIs

Dashboard tools

Job description

• Use Python to analyse historical stock market and derivatives data.
• Build, test, and improve trading and investment strategies using the firm’s existing market price database.
• Develop back testing frameworks to evaluate strategy performance, including returns, drawdowns, risk metrics, and other relevant parameters.
• Work closely with the investment and trading team to translate trading ideas into testable quantitative strategies.

2. MIS Automation & Data Analytics

• Automate daily, weekly, and monthly MIS and reporting processes using Python and other relevant tools.
• Build dashboards for monitoring portfolio performance, positions, exposures, P&L, risk metrics, and other business requirements.
• Improve existing reporting processes by reducing manual intervention and increasing accuracy and efficiency.
• Work with multiple data sources and databases to create reliable and automated data pipelines.

3. Trading & Order Execution Automation

• Develop and maintain systems for automated or semi-automated order execution.
• Write and manage code for firing orders through broker and exchange APIs.
• Build appropriate checks, validations, logging, and monitoring mechanisms around order execution.
• Assist in improving the reliability and efficiency of the firm’s trading infrastructure.
• Develop, maintain, and enhance internal dashboards and front-end interfaces.
• Understand and work with existing front-end scripts and codebases.
• Troubleshoot, modify, and improve dashboards already being used by the investment and trading teams.
• Work across both backend data processing and front-end visualisation.

Required Skills

• Strong working knowledge of Python, particularly for data analysis, automation, and handling large datasets.
• Ability to work with historical market data and build back testing frameworks.
• Experience with libraries such as pandas, NumPy, and other relevant Python tools.
• Understanding of databases and the ability to query and work with structured market data.
• Experience in automating reports, MIS, and data workflows.
• Familiarity with APIs and the ability to write code for API-based order execution.
• Ability to understand, maintain, and modify existing front-end code and dashboards.
• Strong problem-solving ability and willingness to work on real-world trading and technology challenges.

Preferred Skills

The following would be an advantage, though they are not mandatory:

• Knowledge of financial markets, particularly equities, derivatives, or algorithmic trading.
• Experience with broker or trading APIs.
• Familiarity with SQL and databases.
• Understanding of portfolio analytics, P&L, risk metrics, or trading strategy evaluation.

What We Are Looking For

We are looking for someone who enjoys solving problems and is comfortable taking ownership of projects. The ideal candidate does not necessarily need extensive prior experience in every area but should have a strong foundation in Python and coding, along with the ability and willingness to learn quickly.

The candidate should be comfortable working in a fast-paced environment where technology is closely integrated with investment and trading decisions.