Quant Scientist

This is a fully remote position, open to applicants in New York.

📋 Description

• Conduct a thorough assessment of ML model outputs to ensure they align with financial theories and real-world market conditions, considering client-specific objectives, constraints, and investment frameworks.

• Convert research signals into actionable investment strategies and frameworks for portfolio construction.

• Work alongside ML researchers to enhance models by integrating financial domain knowledge and contributing to model design as needed.

• Create, prototype, and expand quantitative models using Python and Java, upholding high standards for code quality and modularity.

• Play a role in the financial validation layer of the R&D cycle by developing and sustaining testing frameworks that identify discrepancies and facilitate ongoing model enhancements.

• Convert intricate portfolio objectives into rigorous, testable modeling specifications that connect investment intentions with algorithmic execution.

• Collaborate across various technical streams to ensure that research outputs align with investment goals and are effectively integrated into production processes.

⛳️ Requirements

• A degree in Finance, Quantitative Finance, Financial Engineering, Mathematics, or a related discipline.

• Knowledge of portfolio construction, asset allocation, and risk management.

• Proficient in Python and Java programming, with experience in financial modeling, data analysis, and working with ML-driven workflows.

• Proven experience in interpreting, validating, or stress-testing quantitative or machine learning models (such as backtesting, scenario analysis, or model diagnostics).

• Capability to bridge the gap between finance and technology: translating investment concepts into technical specifications and critically evaluating model outputs using practical financial insight.

• Strong analytical skills with the ability to convey complex quantitative insights clearly to both technical and business audiences.

• Proficient in English (both written and spoken).

🏝️ Benefits

• Competitive salary and a genuinely flexible work environment.

• Access to an unlimited learning and development budget to remain at the forefront of AI research, along with a fast-track path into technical leadership or principal research positions.

• Daily collaboration with a highly international team (over 18 nationalities) across our offices in Milan, London, and New York.

• Annual company retreat at a breathtaking location.

• Accelerated career progression, with opportunities to advance into leadership positions.