Quant Scientist: AI-Driven Finance & Portfolios

MDOTM; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Unlimited learning budget

Annual company retreat

Fast-track career progression

Flexible work environment

Job summary

MDOTM is seeking a Quantitative Data Scientist for its Research and Development Team in Milan to bridge quantitative modeling with real-world investment applications. You will translate business needs into technical solutions, ensuring strategies are robust, scalable, and aligned with client expectations.

The role requires financial intuition, hands-on coding in Python and Java, and collaboration with ML researchers to refine models.

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, 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).

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.

Skills

Python

Java

Financial modeling

Data analysis

ML workflows

Backtesting

Scenario analysis

English fluency

Education

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

Tools

Git

Job description

MDOTM is seeking a Quantitative Data Scientist for its Research and Development Team in Milan to bridge quantitative modeling with real-world investment applications. You will translate business needs into technical solutions, ensuring strategies are robust, scalable, and aligned with client expectations.

The role requires financial intuition, hands-on coding in Python and Java, and collaboration with ML researchers to refine models.