Head of Quantitative Development

QSentia | AI Investment Intelligence Platform
Founding Team | Pre Seed | Remote | Equity Based Initially

About the Role

We are seeking a Head of Quantitative Development to lead the development and productionization of QSentia's quantitative investment technology.

This person will sit at the intersection of quantitative research, machine learning, software engineering, portfolio construction, risk management, and execution.

You will be responsible not simply for developing models, but for creating the infrastructure that turns research into robust investment systems capable of operating in institutional environments.

What You Will Own

• Lead QSentia's quantitative development organization

• Own the research to production lifecycle for quantitative models

• Develop and productionize systematic strategies across equities, futures, digital assets, and multi asset portfolios

• Advance QSentia's reinforcement learning architecture for portfolio allocation, position sizing, and adaptive risk management

• Build institutional quality backtesting and simulation infrastructure

• Implement walk forward testing and rigorous out of sample validation

• Develop portfolio construction and optimization systems

• Build volatility targeting, exposure management, drawdown controls, and risk budgeting frameworks

• Develop transaction cost, slippage, liquidity, and market impact models

• Build execution and order management logic

• Design broker and exchange integrations

• Establish standards for reproducible quantitative research

• Prevent look ahead bias, survivorship bias, leakage, overfitting, and unrealistic execution assumptions

• Develop model performance attribution and monitoring

• Work with engineering leadership to scale quantitative workloads across cloud infrastructure

• Establish model validation and production approval processes

• Recruit and lead quantitative developers and researchers

Ideal Background

• 10 or more years in quantitative finance, systematic trading, quantitative development, or financial engineering

• Experience at a hedge fund, quantitative asset manager, proprietary trading firm, investment bank, market maker, or institutional trading organization

• Exceptional Python skills

• Strong understanding of quantitative portfolio management

• Experience building production trading or investment systems

• Deep understanding of statistics, probability, optimization, time series analysis, and financial markets

• Experience with equities, futures, options, digital assets, or multi asset strategies

• Strong understanding of portfolio construction, risk management, transaction costs, and execution

• Experience with machine learning applied to financial markets

• Strong software engineering practices and experience working with large financial datasets

Highly Preferred

• Reinforcement learning experience

• Deep learning and transformer experience

• Experience with actor critic methods such as PPO, SAC, or TD3

• Experience developing adaptive portfolio allocation or dynamic position sizing systems

• Experience building long and short systematic portfolios

• Knowledge of market microstructure

• Experience with Interactive Brokers, Bloomberg, Polygon, Alpaca, CME, ICE, or institutional market data providers

• AWS and distributed computing experience

• Master's degree or PhD in Mathematics, Statistics, Computer Science, Physics, Engineering, Financial Engineering, Machine Learning, or a related quantitative discipline

What Success Looks Like

You will transform QSentia's quantitative research into an institutional grade model development and deployment engine.

Success means models are not judged solely by backtest returns. They must demonstrate robust out of sample performance, controlled drawdowns, realistic transaction costs, explainable risk behavior, reproducibility, scalability, and readiness for deployment within professional investment environments.

Over time, you will build and lead the quantitative organization responsible for one of QSentia's most important competitive advantages: AI that learns not only where opportunities exist, but how much capital should be put at risk.

Compensation

Both positions are founding leadership roles and are initially equity based while QSentia completes its pre seed financing. Cash compensation will be introduced following financing, with compensation packages designed to be competitive for senior financial technology and quantitative talent.

For the Head of Sales, I would also strongly consider adding a commission or revenue share component from day one, even before funding. That gives a senior institutional salesperson a direct economic incentive to bring QSentia its first paying customers while preserving cash.