- Market data analysis
- Portfolio analytics or risk management
- Strategy research and testing
Company: 369c
Location: Remote
Type: Full-time, contract
About 369c
369c is a quantitative investment firm focused on systematic trading, pattern recognition and technology-driven investment strategies.
We are looking for an experienced AI / Machine Learning Engineer with strong quantitative trading knowledge to help us build proprietary research, strategy development and trading infrastructure.
This role is suited to someone who understands both machine learning and financial markets , and can help turn trading ideas, market data and research concepts into practical tools, models and systems.
The Role
We are seeking someone who can help us apply AI and machine learning across the quantitative trading research and development process.
The ideal candidate should be able to work across
- Market data analysis
- Pattern recognition
- Time-series modelling
- Strategy research and testing
- Model development
- Backtesting and validation
- Trading system infrastructure
- Risk and performance monitoring
- Automation of research workflows
This is a hands-on role for someone who can both think conceptually and build practically.
Key Responsibilities
- Develop AI and machine learning models for analysing financial market data
- Build tools to support quantitative strategy research and testing
- Identify and evaluate patterns, signals and market behaviours
- Assist with backtesting, validation and performance analysis
- Help design workflows for moving research ideas into robust trading systems
- Build automation tools to improve research, monitoring and reporting processes
- Work with the founder and wider team to develop proprietary investment technology
- Ensure models and systems are built with appropriate robustness, risk controls and validation standards
Required Experience
The ideal candidate should have experience in
- Python and quantitative research workflows
- Machine learning and statistical modelling
- Financial time-series analysis
- Backtesting and strategy validation
- Data cleaning, feature engineering and model evaluation
- Working with market data
- Building reliable research or production systems
- Understanding the risks of overfitting, data leakage and poor model validation
Highly Valued Experience
Experience in any of the following would be highly regarded:
- Systematic trading or quantitative finance
- Equities, futures, options, FX or digital assets
- Market microstructure or intraday data
- Portfolio analytics or risk management
- Broker/exchange API integration
- AI-assisted coding, research tools or automation
- Cloud infrastructure, databases or dashboards
What We Are Looking For
We are looking for someone who is
- Practical and commercially minded
- Strong technically, but able to communicate clearly
- Experienced in both AI and financial markets
- Careful with model validation and risk
- Comfortable working with complex and noisy data
- Able to build clean, scalable and reliable systems
- Interested in systematic trading, pattern recognition and investment technology
Ideal Candidate Background
You may be a good fit if you have worked as a:
- Machine Learning Engineer
- AI Engineer
- Quant Developer
- Quant Researcher
- Data Scientist in financial markets
- Systematic Trading Developer
- Trading Systems Engineer
Why Join 369c
This is an opportunity to work closely with the founder of a growing quantitative investment firm and help build proprietary AI and systematic trading technology from the ground up.
The role offers exposure to real financial markets, practical trading problems and the development of systems that directly support investment decision-making.
How to Apply
Please send
- A short introduction
- Your relevant experience in AI, machine learning and quantitative trading
- Examples of relevant projects, research, systems or models you have built
- GitHub, portfolio or prior work examples, if available
