Quant Scientist (Remote, US Eastern Time Zone)

MDOTM Ltd.; Lombardia; Remote; EUR 90,000 - 130,000; Full time

Job summary

MDOTM Ltd. in Milan is seeking a Quantitative Data Scientist to join our R&D Team. You will bridge complex quantitative modeling with real-world financial applications, translating business needs into scalable technical solutions.

The role requires strong financial intuition, hands-on modeling, and collaboration across research and investment functions to deliver robust, client-aligned strategies.

Qualifications

• Degree in Finance, Quantitative Finance, Financial Engineering, Mathematics, or a related field.
• Understanding of portfolio construction, asset allocation, and risk management.
• Solid Python/Java programming skills with experience in financial modeling.
• Experience interpreting, validating, or stress-testing quantitative or machine learning models (backtesting, scenario analysis, model diagnostics).
• Fluent in English (written and spoken).

Responsibilities

• Critically evaluate ML model outputs against financial theory and market dynamics, aligning with client objectives.
• Translate research signals into actionable investment strategies and portfolio construction frameworks.
• Collaborate with ML researchers to refine models and contribute to design where needed.
• Design, prototype, and scale quantitative models using Python and Java, ensuring code quality and modularity.
• Develop and maintain test frameworks to validate models and support continuous improvement.
• Translate complex portfolio objectives into rigorous modeling specifications bridging investment intent and algorithmic execution.
• Collaborate across technical workstreams to ensure outputs align with investment objectives and production workflows.

Skills

Strong analytical mindset

Fluent English

Financial intuition

Stakeholder communication

Education

Degree in Finance, Quantitative Finance, Financial Engineering, Mathematics, or related field

Tools

Python

Java

ML workflows

Job description

We are looking for a Quantitative Data Scientist to join our Research and Development Team in Milan. This is a critical, high-impact hire designed to be the bridge between complex quantitative modeling and real-world financial application.

The ideal candidate combines a strong financial intuition with a "hands-on" attitude. You will be responsible for translating business needs into technical solutions, ensuring our investment strategies are robust, scalable, and aligned with client expectations. You will serve as a key integrator across research, and investment functions, bringing order to innovation.

Key Responsibilities

• Critically evaluate ML model outputs to ensure alignment with financial theory and real-world market dynamics, while accounting for client-specific objectives, constraints, and investment frameworks.
• Translate research signals into actionable investment strategies and portfolio construction frameworks.
• Collaborate with ML researchers to refine models, incorporating financial domain expertise and contributing to model design where needed.
• Design, prototype, and scale quantitative models using Python and Java, maintaining a high standard for code quality and modularity.
• Contribute to the financial validation layer of the R&D cycle by developing and maintaining test frameworks that identify inconsistencies and support continuous model improvement.
• Translate complex portfolio objectives into rigorous, testable modeling specifications that bridge the gap between investment intent and algorithmic execution.
• Collaborate across technical workstreams to ensure research outputs are aligned with investment objectives and successfully integrated into production workflows.

Requirements

• Degree in Finance, Quantitative Finance, Financial Engineering, Mathematics, or a related field.
• Understanding of portfolio construction, asset allocation, and risk management
• Solid Python/Java programming skills, with experience in financial modeling, data analysis, and working with ML-driven workflows.
• Experience interpreting, validating, or stress-testing quantitative or machine learning models (e.g., backtesting, scenario analysis, or model diagnostics).
• Ability to bridge finance and technology: translate investment concepts into technical requirements and challenge model outputs using real-world financial intuition.
• Strong analytical mindset with the ability to communicate complex quantitative insights clearly to both technical and business stakeholders.
• Fluent in English (written and spoken).

Bonus Points

• Solid understanding of Git-based workflows (branching, code reviews, version control) in collaborative research or production environments.
• Experience leveraging LLMs and AI coding tools (e.g., Claude Code, GitHub Copilot) to accelerate prototyping, refactor code, and optimize algorithmic performance.
• Proven ability to thrive in high-pressure, collaborative environments, delivering precise results under tight market-driven or project deadlines

Get in touch or talk with our customer success. We will walk you through a personalised version of Sphere and show how you can leverage it in your investment process.

MDOTM Ltd (FRN: 824056) is an appointed representative of Thornbridge Investment Management LLP (FRN: 713859) which is authorised and regulated by the Financial Conduct Authority.