Quantitative Data Scientist
Pubblicato il 07-08-2026 - Mdotm in Italia
ppQuantitative Data Scientist at Mdotm. /ppAbout the role Mdotm is seeking a skilled Quantitative Data Scientist to join our dynamic team in Milano. This full-time position is ideal for individuals who are passionate about leveraging data to drive insights and enhance decision-making processes. As a Quantitative Data Scientist, you will play a crucial role in developing and implementing advanced statistical models and algorithms that support our innovative financial technology solutions. Your expertise will contribute to the optimization of our data-driven strategies, ensuring that we remain at the forefront of the industry. /ph3Key facts /h3ulliLocation: Milano /liliEngagement: Full-time /liliSalary: Competitive, commensurate with experience /liliVisa: Sponsorship available for the right candidate /li /ulh3What you'll do /h3ulliDesign and develop quantitative models to analyze complex datasets, providing actionable insights to stakeholders. /liliCollaborate with cross-functional teams to identify key business challenges and develop data-driven solutions. /liliConduct rigorous statistical analyses to validate model performance and ensure robustness of findings. /liliUtilize machine learning techniques to enhance predictive capabilities and improve model accuracy. /liliPrepare and present findings to both technical and non-technical audiences, translating complex data into understandable insights. /liliMonitor and evaluate the effectiveness of implemented models, making adjustments as necessary to optimize performance. /liliStay updated on industry trends and advancements in data science methodologies to continuously improve our analytical capabilities. /liliContribute to the development of best practices for data management and analysis within the organization.
/liliAssist in the creation of data visualizations that effectively communicate insights and support decision-making processes. /liliMentor junior data scientists and analysts, fostering a culture of learning and collaboration within the team. /liliEngage in research initiatives to explore new data sources and methodologies that can enhance our analytical framework. /liliParticipate in the design and execution of experiments to test hypotheses and validate assumptions related to business strategies. /li /ulh3Requirements /h3ulliMaster’s degree or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline. /liliA minimum of 3 years of experience in data science, quantitative analysis, or a similar role within a financial or tech environment. /liliProficiency in programming languages such as Python or R, with a strong understanding of data manipulation and analysis libraries. /liliExtensive experience with statistical modeling techniques, including regression analysis, time series analysis, and machine learning algorithms. /liliFamiliarity with data visualization tools such as Tableau, Power BI, or similar platforms to effectively communicate findings. /liliStrong analytical skills with the ability to interpret complex data sets and derive meaningful insights. /liliExcellent communication skills, both written and verbal,
with the ability to present technical information to diverse audiences. /liliDemonstrated ability to work collaboratively in a fast-paced, team-oriented environment. /liliStrong problem-solving skills and a proactive approach to identifying and addressing challenges. /li /ulh3Nice to have /h3ulliExperience with big data technologies such as Hadoop, Spark, or similar frameworks. /liliKnowledge of financial markets and investment strategies, providing context for data-driven decision-making. /liliFamiliarity with cloud computing platforms such as AWS or Azure for data storage and processing. /liliPrevious experience in a startup or high-growth environment, demonstrating adaptability and innovation. /liliUnderstanding of data governance and compliance standards relevant to financial data management. /li /ulh3Skills tools /h3ulliProgramming languages: Python, R /liliData analysis libraries: Pandas, NumPy, Scikit-learn /liliStatistical tools: R, SAS, or similar /liliData visualization: Tableau, Power BI /liliBig data technologies: Hadoop, Spark (preferred but not required) /liliCloud platforms: AWS, Azure (preferred but not required) /li /ulh3Practical notes /h3ulliThis role is based in Milano, and candidates should be prepared to work on-site as required. /liliMdotm is committed to fostering a diverse and inclusive workplace, and we encourage applications from individuals of all backgrounds. /liliThe position offers opportunities for professional growth and development within a forward-thinking company. /li /ulpInterested candidates can apply through our career portal at Mdotm Careers ( /ppJoin Mdotm and be part of a team that is shaping the future of financial technology through innovative data science solutions. /ppWe look forward to your application! /p /p #J-18808-Ljbffr