High-Frequency Trading (HFT) Quantitative Analyst

Position: High-Frequency Trading (HFT) & Quant Trader
Location: Sector- 58 Noida
Employment Type: Full-Time
Department: Trading

About Us

Cogmac is a technology research lab based in Noida, NCR-Delhi, specializing in innovative programming languages and advanced robotics. We focus on cutting-edge research to drive automation and intelligent systems across industries. Cogmac also developed Factotum, a powerful software suite for professional trading, including algorithmic trading, high-frequency trading, portfolio building, and hedging. Known as CONVEX and NEBULA among traders, Factotum is recognized for enhancing trading strategies.

Role Overview:

As a High-Frequency Trading (HFT) Quantitative Analyst, you will be responsible for developing and implementing high-frequency trading strategies that can execute large volumes of trades at lightning speed. You will use your skills in quantitative analysis, programming, and machine learning to build and optimize algorithms in a fast-paced and highly competitive trading environment.

Key Responsibilities:

• Develop High-Frequency Trading Strategies: Design, develop, and implement strategies for algorithmic trading across various asset classes, with a focus on high-frequency execution.
• Real-Time Strategy Optimization: Continuously monitor and optimize the performance of live strategies in real-time, adjusting them to changing market conditions.
• Data Analysis: Analyze large datasets from financial markets to extract meaningful insights and develop predictive models for price movements and trading signals.
• Backtesting: Perform extensive backtesting of trading algorithms using historical market data to ensure profitability and risk control.
• Risk Management: Apply risk management techniques to limit exposure and maximize returns within predefined risk parameters.
• Collaboration: Work closely with developers, traders, and other quants to ensure smooth integration of trading algorithms into production systems.
• Performance Monitoring: Track performance metrics of trading algorithms and systems, and implement improvements to reduce latency and improve execution speed.
• Technology Development: Leverage cutting-edge technologies to improve the infrastructure of trading systems and reduce latency in market interactions.
• Stay Updated: Keep up to date with financial market developments, regulatory changes, and technological innovations to maintain competitive advantage.

Required Qualifications:

• Education: A Bachelors, Master’s, or Ph.D. in Mathematics, Computer Science, Financial Engineering, Physics, or a related quantitative field.
• Experience: At least 3 years of experience in high-frequency trading, quantitative analysis, or algorithmic trading.
• Strong Programming Skills: Expertise in programming languages like C++, Python, Java, or Rust. Experience with low-latency, high-performance code is essential.
• HFT Techniques: Deep understanding of high-frequency trading techniques such as market making, arbitrage, and statistical arbitrage.
• Knowledge of Financial Markets: Strong understanding of financial instruments, market microstructure, and exchange mechanisms.
• Mathematical and Statistical Expertise: Proficiency in advanced mathematics, including probability theory, stochastic processes, time series analysis, and statistical modeling.
• Data Handling: Experience in handling large-scale datasets and real-time data feeds (e.g., market data, order book data).

Preferred Qualifications:

• Experience in designing and implementing high-frequency trading strategies in a live trading environment.
• Familiarity with HFT infrastructure, including co-location and direct market access (DMA).
• Knowledge of FPGA, GPU, or hardware acceleration technologies.
• Experience in machine learning or deep learning applied to financial markets.
• Understanding of low-latency systems and performance optimization.

Skills & Competencies:

• Analytical Thinking: Strong quantitative and analytical skills with an ability to solve complex, real-time problems.
• Attention to Detail: Precision and meticulousness in backtesting, algorithm design, and live strategy execution.
• Collaboration: Strong team player with excellent communication skills to work with developers, quants, and traders.
• Stress Management: Ability to perform under pressure, especially during high-stress trading conditions.
• Adaptability: Comfortable working in an ever-evolving and highly competitive market.

Benefits:

• A fast-paced and intellectually stimulating work environment.
• Flexible work hours and options for remote work (if applicable).

How to Apply:

If you are passionate about high-frequency trading and quantitative analysis, we would love to hear from you. Please submit your resume, along with a cover letter, to hr@cogmac.com/career@cogmac.com