Data Science, Business Analytics, Associate

Key Skills

Analytical and Problem solving, Machine learning techniques, PowerBI, Python Programming, QlikView, R Programming, SQL, Statistical modeling, Tableau

Job Description

About this role

BlackRock's Client Experiment Platform (CXP) team is responsible for delivering tools, algorithms, and solutions to drive the efficiency of BlackRock's Client Business organizations globally and digitally transform how BlackRock's clients experience the firm. Do you have demonstrated success delivering impact and commercial outcomes? Then, we want you! We are passionate about delivering state of the art technology to our users in a scalable and resilient manner, coupled with a great user experience.

Job background

The Data Science and Insights team leverages technology and data to develop models and actionable insights to power how we engage with our clients around the world. We directly shape how BlackRock sells to and services our clients and ultimately drives our business forward.

The team partners closely with our Product and Engineering teams to build technology products, as well as with our Sales and Digital Distribution teams to ensure that data science and analytics are delivered with the highest business impact. You will also partner with internal technology teams on infrastructure, tools, processes, standards, and development, and other data science and analytics teams across the organization.

The successful candidate will have a passion for technology and clients, comfort working across a range of technology capabilities, including databases, software, and infrastructure, and a love of solving complex problems.

Your Responsibilities May Include:

• Refine ambiguous questions, generate new hypotheses, deliver analysis, and develop a data-backed viewpoint of how to improve our technology products and business strategy through a deep understanding of the data, our clients, and our business.
• Develop, own, and evangelize key product and business metrics.
• Create high visibility dashboards, reports, and visualizations to ensure the timely delivery of valuable metrics and actionable insights.
• Collaborate with product, business and client teams to validate data tags and logs of new product features and enhancements. Provide thought leadership on adoption metrics and create analytics tools to monitor adoption in real time.
• Use cutting-edge tools and machine learning techniques to research and develop analysis that power personalization and product insights servicing BlackRock’s clients around the world.
• Collaborate with other members of the data science and analytics community across the firm on best practices, code review, internal tools and process improvements.

Some of the skills you should have:

• Bachelors or Masters degree in Math, Computer Science, Statistics, Economics, Physics, Engineering or another quantitative field
• Understanding of decision science, with the ability to drive optimal choices based on available information while eliminating bias
• Excellent SQL and Python/R, data analysis, and problem-solving skills, with the ability to understand statistical modeling techniques as well as machine learning
• Highly quantitative, with a keen eye for teasing out insights from volumes of data
• The ability to effectively collaborate with and present to both technical and non-technical partners
• Basic understanding of experimental design (such as A/B experiments) and statistical methods
• Intellectual curiosity and a commercial mindset
• Experience of developing data solutions such as ETLs, databases, API’s to both source and provide data, and automation a plus
• Experience in Tableau, QlikView, PowerBI or similar for delivery of management information and reporting 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.