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Job details:
Senior AI Quantitative Trading Engineer
Location: Noida, India
Employment Type: Full-Time
Experience: 7+ Years
About Us
We are building a next-generation AI-powered quantitative trading platform that combines artificial intelligence, machine learning, statistical modeling, and automated execution into a single intelligent trading system.
Our vision extends far beyond traditional algorithmic trading. We are building an AI research platform capable of discovering, testing, optimizing, and deploying profitable trading strategies across equities, options, futures, cryptocurrencies, and other financial markets.
This role is an opportunity to become one of the founding engineers of a long-term AI initiative.
Position Overview
We are seeking an exceptional Senior AI Quantitative Trading Engineer who combines expertise in quantitative finance, machine learning, and software engineering.
You will design and build an institutional-quality trading platform capable of:
- Discovering trading opportunities using AI
- Backtesting millions of strategies
- Executing trades automatically
- Managing portfolio risk
- Continuously learning from market data
- Leveraging LLMs and AI agents to accelerate quantitative research
This role requires someone who enjoys solving difficult problems and building production-grade systems.
Responsibilities
Quantitative Research
- Design and implement quantitative trading strategies
- Develop alpha-generation models
- Perform statistical analysis on market data
- Build predictive models
- Optimize portfolio allocation
- Research new trading opportunities
- Develop options pricing and volatility models
- Build factor models and market signals
AI & Machine Learning
- Build machine learning models for financial forecasting
- Develop reinforcement learning agents
- Implement time-series forecasting models
- Build feature engineering pipelines
- Train deep learning models
- Fine-tune large language models
- Build AI agents capable of generating and evaluating trading strategies
- Integrate LLM APIs into the research workflow
Trading Platform Development
Design and build:
- Market data ingestion systems
- Backtesting engine
- Strategy engine
- Execution engine
- Broker integrations
- Portfolio management system
- Risk management engine
- Performance analytics dashboard
- Paper trading environment
- Live trading infrastructure
Software Engineering
- Write clean, scalable, production-quality code
- Optimize performance for low-latency trading
- Build distributed services
- Design APIs
- Build automated testing pipelines
- Deploy systems to cloud and GPU infrastructure
- Ensure reliability, monitoring, and fault tolerance
Required Qualifications
- 7+ years of software engineering experience
- 5+ years developing algorithmic trading systems
- Strong background in quantitative finance
- Production experience building automated trading systems
- Experience with machine learning in finance
- Strong understanding of probability and statistics
- Experience with time-series modeling
- Experience building production APIs
- Excellent software architecture skills
Required Technical Skills
Programming
- Python (Expert)
- SQL
- C++ or Rust (Preferred)
- Git
- Linux
Machine Learning
- PyTorch
- TensorFlow
- XGBoost
- LightGBM
- Scikit-learn
- Reinforcement Learning
Quantitative Finance
- Market Microstructure
- Statistical Arbitrage
- Time-Series Analysis
- Options Pricing
- Volatility Modeling
- Portfolio Optimization
- Monte Carlo Simulation
- Risk Modeling
Trading Infrastructure
Experience integrating with one or more:
- Interactive Brokers
- Alpaca
- Tradier
- Binance
- Coinbase
- Kraken
- FIX Protocol
- WebSocket market feeds
Data
- PostgreSQL
- Redis
- Kafka
- TimescaleDB
Infrastructure
- Docker
- Kubernetes
- AWS / Azure / GCP
- GPU Computing
- Distributed Systems
Preferred Qualifications
Experience with one or more of the following:
- High-frequency trading
- Market making
- AI agents
- Multi-agent systems
- LLM fine-tuning
- CUDA
- Ray
- Vector databases
- Financial NLP
- Alternative data analysis
What You'll Build
You will help build:
- AI-powered strategy discovery
- Institutional-grade backtesting framework
- Automated risk management
- Portfolio optimization engine
- AI research assistant
- Strategy optimization platform
- Live execution engine
- Performance analytics dashboard
- Multi-broker trading infrastructure
- Self-improving AI trading platform
Success Metrics
Within your first 12 months, you will help deliver:
- Production-grade automated trading platform
- High-performance backtesting engine
- AI-driven strategy generation system
- Broker integrations
- Live execution capabilities
- Portfolio risk management
- Machine learning prediction framework
- Scalable cloud architecture
Ideal Candidate
You are someone who:
- Loves mathematics and statistics
- Enjoys solving extremely difficult technical problems
- Has built profitable quantitative trading systems
- Understands institutional trading infrastructure
- Is passionate about artificial intelligence
- Wants to build technology that pushes the frontier of AI in finance
- Takes ownership and thrives in a startup environment
Compensation
- Competitive salary (commensurate with experience)
- Performance-based bonus
- Commission on profits
- Opportunity to be an early member of a high-impact AI and quantitative trading startup
Click on Apply to know more.