# Quantitative trader

> Weekday AI · Delhi, India · Full-time · Posted 2026-04-27

**Salary:** INR 3,000,000–10,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of the Weekday's clients**

**Salary range: Rs 3000000 - Rs 10000000 (ie INR 30 - 100 LPA)**

Min Experience: 2 years

Location: NCR

JobType: full-time

We are seeking a highly analytical and driven Quantitative Trader to join our trading team. This role is ideal for professionals with 2–4 years of experience who are passionate about financial markets, data-driven decision-making, and algorithmic trading strategies. As a Quant Trader, you will be responsible for researching, developing, and executing systematic trading strategies across asset classes, leveraging quantitative models and advanced statistical techniques.

## Requirements

**Key Responsibilities**

-   Design, develop, and implement quantitative trading strategies using statistical models and algorithmic techniques.
-   Conduct in-depth research on market trends, pricing inefficiencies, and trading signals using large datasets.
-   Analyze high-frequency and historical market data to identify profitable opportunities.
-   Collaborate with developers and data scientists to optimize trading systems and execution algorithms.
-   Monitor live trading strategies, evaluate performance, and make data-driven adjustments to improve returns.
-   Manage risk by implementing robust risk controls, position sizing models, and portfolio optimization techniques.
-   Continuously refine models by incorporating new data sources, machine learning techniques, and market insights.
-   Ensure trading strategies comply with regulatory requirements and internal risk guidelines.

**Required Skills & Qualifications**

-   2–4 years of experience in quantitative trading, algorithmic trading, or a related role.
-   Strong understanding of financial markets, including equities, derivatives, FX, or commodities.
-   Proficiency in programming languages such as Python, C++, or Java for strategy development and backtesting.
-   Solid knowledge of quantitative methods including statistics, probability, linear algebra, and time-series analysis.
-   Experience with data analysis tools and libraries (e.g., Pandas, NumPy, SciPy).
-   Familiarity with machine learning techniques and their application in trading is a plus.
-   Strong problem-solving skills with the ability to work with complex datasets and extract actionable insights.
-   Understanding of market microstructure and execution strategies is preferred.

**Behavioral Competencies**

-   Analytical mindset with a strong attention to detail.
-   Ability to work in a fast-paced, high-pressure trading environment.
-   Strong communication skills for articulating complex quantitative concepts to cross-functional teams.
-   Self-motivated with a continuous learning attitude toward evolving market dynamics and technologies.
-   High level of integrity and discipline in decision-making.

**Education**

-   Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Engineering, or a related field.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/37CEBEA057/apply)

---
Powered by [Workable](https://www.workable.com)