Quantitative Data Scientist

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

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](https://mdotm.bamboohr.com/careers/59).

Join Mdotm and be part of a team that is shaping the future of financial technology through innovative data science solutions. We look forward to your application!