Quantitative Researcher / Developer(Algorithm/Python/C++) - PT Freelance - Worldwide

Bastion Technologies is an early-stage quantitative trading startup focused on building intelligent, systematic strategies powered by quantitative research, AI, and advanced modeling. Our long-term vision is to create an institutional-grade proprietary trading firm where research, data, and automation operate together in a unified, scalable framework.

We are starting with crypto markets, where inefficiencies and volatility create an ideal environment for systematic experimentation. Over time, we plan to expand into emerging and inefficient markets, applying the same data-driven approach to uncover structural alpha across multiple asset classes.

We are at the beginning, so no legacy systems, no bureaucracy, just a clean slate and a clear goal: to develop our first profitable, reproducible strategy that forms the foundation of the firm.

The Role

We are looking for a Quantitative Researcher / Developer to join Bastion Technologies as a Co-Founder or on a project-based contract that can transition into a long-term role. You will lead the research and development of the firm’s first live trading strategy in the crypto markets, owning the research pipeline, backtesting infrastructure, and the design of the core quantitative system.

You will also collaborate with the Head of AI to explore how automation and intelligent systems can later assist with research, strategy testing, and optimization, building the foundation for a self-improving trading ecosystem guided by human expertise.

What You Will Do

• Research, design, and validate systematic trading strategies with rigorous out-of-sample testing.
• Identify persistent inefficiencies and alpha opportunities within crypto and emerging markets.
• Engineer features and signals from time-series and cross-sectional data while ensuring zero leakage.
• Build a modular backtesting engine with realistic transaction cost and latency modeling.
• Develop clean, well-documented systems that can support future AI-assisted research.
• Define and implement risk guardrails, monitoring logic, and performance attribution.

Required Skills

• Proven experience developing, testing, and deploying systematic trading strategies or quantitative models, ideally a few years in a trading, research, or quant development role.
• Strong knowledge of statistics, econometrics, probability, and financial time-series modeling.
• Proficiency in Python for research, data analysis, and backtesting (NumPy, pandas, SciPy, scikit-learn).
• Solid command of C++ for performance-critical development and optimization.
• Understanding of data structures, algorithms, and software engineering principles (version control, testing, modular architecture).
• Experience building or maintaining event-driven backtesting frameworks and modeling realistic order execution.
• Ability to conduct walk-forward analysis, cross-validation, and out-of-sample testing with proper data hygiene.
• Familiarity with transaction cost analysis, slippage modeling, and risk-adjusted performance metrics (Sharpe, Sortino, Information ratio).
• Working knowledge of market microstructure, order types, and liquidity dynamics.
• Experience with SQL or time-series databases and comfort working in Linux environments.
• Understanding of risk management concepts such as exposure limits, drawdown control, and kill-switch logic.

Nice-to-Have Skills
• Experience applying machine learning, reinforcement learning, or deep learning to trading research.
• Familiarity with high-frequency trading (HFT) systems or low-latency environments.
• Knowledge of quantum computing concepts and their use in optimization or predictive modeling.
• Experience with crypto exchange APIs, on-chain analytics, or DeFi data.
• Exposure to factor investing, statistical arbitrage, or market-neutral frameworks.
• Comfort with cloud infrastructure (AWS, GCP) and containerization (Docker).
• Knowledge of Rust, Cython, or GPU computing for performance optimization.
• Experience using AI-agent frameworks or automation pipelines for research and optimization.

Why Join Bastion Technologies

You will be joining at day zero. What you build now will define the DNA of the firm. This is an opportunity to own meaningful equity, shape the research philosophy, and architect a trading system designed to scale globally.

How to Apply

• A brief summary of a strategy or research pipeline you have built.
• Your preferred tech stack and validation approach.
• Whether you’re applying as a project-based contractor or co-founder.