Utilize Mathematical Models and Statistical Analysis to develop and implement algorithmic trading strategies. 

Apply advanced Machine Learning techniques to analyze financial data and uncover valuable insights for trading decisions. 

Develop and optimize trading infrastructure, ensuring robustness, scalability, and low-latency execution. 

Research on Market Microstructure, trading patterns, and algorithmic execution to enhance our trading strategies.

Job Description:

About Us
PinSec.Ai is a fast-growing quantitative proprietary trading firm focused on leveraging data-driven insights to excel in the financial markets. With an unwavering commitment to innovation, we are expanding our operations across Indian and global markets. At PinSec.Ai, we seek talented individuals who are passionate about data, numbers, and solving complex real-time problems.

We employ a disciplined and systematic quantitative approach to uncover factors that consistently generate alpha. These factors are seamlessly integrated with our in-house high-speed trading systems and robust risk management frameworks to create cutting-edge trading strategies across various asset classes, including equities, commodities, and currencies. While our primary focus has been the Indian Equity Markets, we are rapidly expanding to global exchanges to broaden our reach and impact.

Responsibilities:

As a Quant Trader:

• Execute, monitor, and optimize systematic trading strategies in live markets.
• Collaborate with researchers to enhance trading models and identify new opportunities.
• Design risk management systems to ensure robust execution across asset classes.
• Develop tools to analyze real-time market data and post-trade performance.
• Manage trade execution and ensure smooth functioning of automated systems.
• Regularly review strategy performance and recommend improvements.
• Implement Machine Learning models and Artificial Intelligence to the ongoing strategies and new strategies that are developed.

Qualifications:

Our Ideal candidate will have:

• 2+ years of trading experience in equities, derivatives, or commodities.
• Exceptional understanding of trading concepts and market dynamics.
• Programming proficiency in Python or C++.
• Strong analytical mindset and ability to make decisions under pressure.
• Familiarity with high-frequency or mid-frequency trading is a plus.
• A degree in highly analytical field such as engineering, mathematics, finance or computer science from top-tier institutions.
• Detail oriented and inquisitive to problem solving.
• Proficiency in Linux environment, AWS & Cloud Operations.
• Strong Work ethic and entrepreneurial mindset.

Benefits

At PinSec.Ai, we are firm believers in meritocracy and open leadership, empowering our team to innovate, experiment, and grow. Outstanding performance is rewarded generously, with compensation packages that exceed industry standards. Our variable bonuses directly reflect individual contributions and company growth, offering no upper limit on potential earnings. This is in addition to our highly competitive fixed compensation.

Our Perks:

• Competitive Fixed Compensation: Industry-leading pay scales tailored to attract top talent.
• Uncapped Performance Bonuses: Aligned with company and individual success.
• Global Exposure: Domestic and international team outings for collaboration and networking.
• Team Engagement: Regular social events to foster a collaborative and vibrant work culture.

Job Description

About Us

PinSec.Ai is a fast-growing quantitative proprietary trading firm focused on leveraging data-driven insights to excel in the financial markets. With an unwavering commitment to innovation, we are expanding our operations across Indian and global markets. At PinSec.Ai, we seek talented individuals who are passionate about data, numbers, and solving complex real-time problems.

We employ a disciplined and systematic quantitative approach to uncover factors that consistently generate alpha. These factors are seamlessly integrated with our in-house high-speed trading systems and robust risk management frameworks to create cutting-edge trading strategies across various asset classes, including equities, commodities, and currencies. While our primary focus has been the Indian Equity Markets, we are rapidly expanding to global exchanges to broaden our reach and impact.

Responsibilities

As an ML Data Scientist or Intern at PinSec.Ai, you will:

• Develop and implement machine learning models to predict market movements and optimize strategies.
• Preprocess and analyze large datasets for feature engineering and model building.
• Explore deep learning and reinforcement learning techniques for trading applications.
• Collaborate with quantitative researchers and traders to integrate ML models into live systems.
• Experiment with advanced algorithms to improve prediction accuracy and trading performance.
• Document processes and present findings to the team for continuous learning and improvement.

Qualifications

We are looking for candidates with:

• A Master’s/PhD (for full-time) or enrollment in a graduate program (for internship) in data science, machine learning, AI, or a related discipline.
• Proven expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong programming skills in Python or C++ and experience working in Linux/Cloud environments.
• Familiarity with time-series data and financial applications is a strong plus.
• A proactive, analytical mindset with a passion for solving challenging problems.

Benefits

• Hands-on experience in a high-impact trading environment.
• Mentorship from experienced professionals in ML and quantitative trading.
• Competitive fixed compensation (for full-time) or a generous stipend (for interns).
• Performance-driven bonuses and potential full-time opportunities for interns.

Our Perks

• Competitive Fixed Compensation: Industry-leading pay scales tailored to attract top talent.
• Uncapped Performance Bonuses: Aligned with company and individual success.
• Global Exposure: Domestic and international team outings for collaboration and networking.
• Team Engagement: Regular social events to foster a collaborative and vibrant work culture.