Quantitative Data Scientist

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Quantitative Data Scientist at Mdotm.

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About 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.

Key facts

- Location: Milano
- Engagement: Full-time
- Salary: Competitive, commensurate with experience
- Visa: Sponsorship available for the right candidate

What you'll do
- Design and develop quantitative models to analyze complex datasets, providing actionable insights to stakeholders.
- Collaborate with cross-functional teams to identify key business challenges and develop data-driven solutions.
- Conduct rigorous statistical analyses to validate model performance and ensure robustness of findings.
- Utilize machine learning techniques to enhance predictive capabilities and improve model accuracy.
- Prepare and present findings to both technical and non-technical audiences, translating complex data into understandable insights.
- Monitor and evaluate the effectiveness of implemented models, making adjustments as necessary to optimize performance.
- Stay updated on industry trends and advancements in data science methodologies to continuously improve our analytical capabilities.




- Contribute to the development of best practices for data management and analysis within the organization.
- Assist in the creation of data visualizations that effectively communicate insights and support decision-making processes.
- Mentor junior data scientists and analysts, fostering a culture of learning and collaboration within the team.
- Engage in research initiatives to explore new data sources and methodologies that can enhance our analytical framework.
- Participate in the design and execution of experiments to test hypotheses and validate assumptions related to business strategies.

Requirements
- Master’s degree or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
- A minimum of 3 years of experience in data science, quantitative analysis, or a similar role within a financial or tech environment.
- Proficiency in programming languages such as Python or R, with a strong understanding of data manipulation and analysis libraries.
- Extensive experience with statistical modeling techniques, including regression analysis, time series analysis, and machine learning algorithms.
- Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms to effectively communicate findings.
- Strong analytical skills with the ability to interpret complex data sets and derive meaningful insights.
- Excellent communication skills,



both written and verbal, with the ability to present technical information to diverse audiences.
- Demonstrated ability to work collaboratively in a fast-paced, team-oriented environment.
- Strong problem-solving skills and a proactive approach to identifying and addressing challenges.

Nice to have
- Experience with big data technologies such as Hadoop, Spark, or similar frameworks.
- Knowledge of financial markets and investment strategies, providing context for data-driven decision-making.
- Familiarity with cloud computing platforms such as AWS or Azure for data storage and processing.
- Previous experience in a startup or high-growth environment, demonstrating adaptability and innovation.
- Understanding of data governance and compliance standards relevant to financial data management.

Skills & tools
- Programming languages: Python, R
- Data analysis libraries: Pandas, NumPy, Scikit-learn
- Statistical tools: R, SAS, or similar
- Data visualization: Tableau, Power BI
- Big data technologies: Hadoop, Spark (preferred but not required)
- Cloud platforms: AWS, Azure (preferred but not required)

Practical notes
- This role is based in Milano, and candidates should be prepared to work on-site as required.
- Mdotm is committed to fostering a diverse and inclusive workplace, and we encourage applications from individuals of all backgrounds.
- The position offers opportunities for professional growth and development within a forward-thinking company.

Interested candidates can apply through our career portal at Mdotm Careers ( ).

Join Mdotm and be part of a team that is shaping the future of financial technology through innovative data science solutions. xysqume

We look forward to your application!

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7c9b6t