About this role

Job Purpose/Background: Are you passionate about analyzing complex data sets to solve challenging problems and generate insights? The EMEA Wealth Data Science team at BlackRock harnesses the power of data to inform client relationship strategies and drive business growth. In this position, you will have the opportunity to leverage your analytical skills to innovate how the EMEA Wealth business goes to market and builds client relationships. You will be involved projects along the full data science spectrum, from obtaining and processing data to selecting models and delivering effective data visualizations.

This position will be based in Budapest as part of the EMEA Wealth Data Science team.

Key Responsibilities Include:

• Engaging in data exploration, cleaning, and preprocessing to prepare data for analysis.
• Providing ongoing maintenance and support for our tactical data warehousing tool, including troubleshooting and incremental improvement.
• Partnering with central data engineering teams to manage and oversee the architecture of databases and data storage to facilitate efficient data access (Snowflake).
• Writing quality maintainable code that is comprehensively tested and fit for the intended objective.
• Interpreting data and analyzing results to provide actionable insights, including using predictive models and machine learning to automate processes and predict future trends.
• Contributing to the prioritisation of data science projects undertaken by the team and defining the team’s technical roadmap.
• Collaborating on complex deliverables with other data scientists in our global offices.

Skills / Competencies:

• Knowledge of data analytics, data science theory, techniques and tools and experience working with large disparate data sets.
• Strong knowledge of Python for data scientists (e.g., pandas), traditional Machine Learning and deep learning libraries (e.g., scikit learn, xgboost, TensorFlow, Torch, etc.); Data manipulation languages (e.g., SQL); Data visualization / presentation skills (e.g., Power BI).
• Flexible, self-motivated approach to problem solving.
• Strong communication skills and the ability to present findings to a non-technical audience.
• Fluency in English is required for the role.

Experience:

• Bachelor’s or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Experience in data analysis, data science, machine learning, or a related field.
• Experience with sales data a plus.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.