Senior Quantitative Portfolio Architect

Bitqcode Quantitative Capital; New York (NY); On-site; USD 250,000 - 420,000; Full time

Job summary

Bitqcode Quantitative Capital in New York seeks a seasoned Portfolio Manager to own the complete investment lifecycle across diverse markets. You will research, backtest, deploy, and monitor profitable systematic strategies, shaping risk and capital allocation in a high-ownership role.

You will collaborate with engineers to improve execution, analyze performance drivers, and mentor junior researchers while advancing the fund's quantitative research agenda.

Qualifications

• 5+ years managing systematic or quantitative investment strategies in hedge funds, proprietary trading firms, or institutional asset managers.
• Strong understanding of portfolio construction, risk-adjusted returns, factor investing, and capital allocation.
• Experience building and managing live quantitative trading strategies with measurable performance.
• Deep understanding of derivatives including futures, options, swaps, and leverage.
• Strong statistical and mathematical foundation including probability, optimization, time series analysis, and machine learning concepts.
• Excellent programming skills in Python, with experience using quantitative research libraries and backtesting frameworks.
• Ability to analyze large financial datasets and extract robust, production-ready trading signals.
• Strong knowledge of market microstructure, execution quality, transaction costs, and liquidity.
• Experience evaluating strategy robustness through out-of-sample testing, walk-forward validation, and stress testing.
• Ability to communicate complex quantitative ideas clearly to engineers, researchers, and leadership.

Responsibilities

• Portfolio construction across multiple asset classes, balancing risk, return, diversification, and capital efficiency.
• Alpha generation through quantitative research, statistical modeling, and systematic strategy development.
• End-to-end ownership of strategies from research and backtesting through production deployment and ongoing monitoring.
• Risk management including exposure limits, drawdown controls, leverage management, and portfolio stress testing.
• Performance attribution and analysis to identify drivers of returns, inefficiencies, and improvement opportunities.
• Capital allocation across strategies based on performance, capacity, and market conditions.
• Collaboration with engineering teams to improve execution quality, trading infrastructure, and research tooling.
• Market monitoring during major macro events and adapting portfolio exposures when necessary.
• Continuous research into new markets, datasets, execution techniques, and quantitative signals.
• Mentoring junior researchers and traders while helping establish investment and research best practices.

Skills

Portfolio construction

Risk management

Derivatives knowledge

Statistical analysis

Time series analysis

Machine learning concepts

Python programming

Backtesting

Data analysis

Market microstructure

Communication

Tools

Python

Backtesting frameworks

Quant research libraries

Job description

Bitqcode Quantitative Capital in New York seeks a seasoned Portfolio Manager to own the complete investment lifecycle across diverse markets. You will research, backtest, deploy, and monitor profitable systematic strategies, shaping risk and capital allocation in a high-ownership role.

You will collaborate with engineers to improve execution, analyze performance drivers, and mentor junior researchers while advancing the fund's quantitative research agenda.