Quant Researcher

Axyon AI

. Contribute to the research and development of systematic equity strategies .

Posted 10/31/2026full-timeModena • ItalyMid-LevelSenior💰 €32,000 - €36,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative research methodologies, particularly in systematic equity strategies, with strong capabilities in Python programming, SQL, and performance attribution. Proficient in analyzing predictive signals and integrating research findings into actionable investment strategies.

Highest-signal resume keywords

Python ProgrammingSQLSystematic Equity InvestingSignal ValidationPerformance Attribution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative ResearchData AnalysisRisk ModellingPortfolio ConstructionFeature EngineeringStatistical TestingOut-Of-Sample AnalysisTransaction Cost ModellingPerformance AnalysisAnalytical Pipeline Development

Soft Skills

Intellectual CuriosityIndependent Problem SolvingEffective Communication

Tools & Technologies

GitDockerBacktesting WorkflowsResearch Tools

Industry Keywords

Equity StrategiesInvestment ResearchFinancial Machine LearningMethodological IssuesRisk Exposures

Tech Stack

Tools & technologies

DockerPythonSQL

About the role

Key responsibilities & impact

Contribute to the research and development of systematic equity strategies
Take ownership of well-defined research projects, from formulating hypotheses and preparing data to evaluating results and documenting conclusions
Research and engineer features
Assess predictive signals and evaluate their robustness through appropriate statistical testing and out-of-sample analysis
Evaluate how signals translate into implementable equity strategies, considering portfolio construction, risk exposures, turnover, and transaction costs
Analyse strategy performance and investigate the sources of returns and risk
Maintain and improve Python research tools, backtesting workflows, and reproducible analytical pipelines
Work with data and engineering colleagues to integrate validated research into reliable workflows
Present research findings, methodological choices, and limitations to internal stakeholders

Requirements

What you’ll need

Previous hands-on experience in a professional quantitative research environment, with evidence of substantive contributions to research projects
Practical experience taking a defined research question through data analysis, validation, and interpretation of results
Strong Python programming skills
Experience with SQL
Working knowledge of systematic equity investing
Practical experience in at least one of: signal validation, performance attribution, risk modelling, or portfolio construction and optimisation
Ability to identify methodological issues, propose next steps, and progress independently while seeking input when needed
English proficiency at B2 level or above, both written and spoken
Intellectual curiosity and a strong interest in quantitative investment research
Familiarity with Git-based version control workflows and Docker-based development environments is a plus
Experience with feature engineering for financial machine learning is a plus
Familiarity with transaction cost modelling and the assessment of strategy turnover and implementation constraints is a plus

Benefits

Comp & perks

Gross annual salary of €32,000-€36,000, commensurate with experience
A long-term employment opportunity, with the contractual arrangement tailored to your profile and aimed at permanent employment
Welfare benefits
Health insurance
Access to psychological support services
Learning budget for courses, conferences, and books
Flexible working hours
Remote-working policy
Collaborative work environment with modern facilities and equipment
Regular opportunities for knowledge sharing and professional development