Data Science and Analytics, Associate - Aladdin Client Sales & Solutions Data Science and Analytics, Associate - Aladdin  …

BlackRock
in New York, NY
Permanent, Full time
Be the first to apply
Competitive
BlackRock
in New York, NY
Permanent, Full time
Be the first to apply
Competitive
Data Science and Analytics, Associate - Aladdin Client Sales & Solutions
Description

About this role

About Aladdin Client Sales and Solutions  

  

BlackRock's Aladdin Client & Sales Solutions (ACSS) 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.  

  

We are a team that recognizes strength comes from diversity and embrace technical expertise and curiosity equally. We are focused on delivering commercial outcomes and are passionate about building outstanding products.  

At BlackRock, we embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and non-technically as an individual.  With over USD $8 trillion of assets under management, we have an exceptional responsibility: our products and technology empower millions of investors to save for retirement, pay for college, buy a home, and improve their general financial wellbeing. 

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, as well as 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. 

At BlackRock, we embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual.  With over USD $8 trillion of assets under management, we have an exceptional responsibility: our products and technology empower millions of investors to save for retirement, pay for college, buy a home, and improve their general financial wellbeing. 

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.  

  • Use cutting-edge tools and machine learning techniques to research and develop models that power selling to and servicing BlackRock's clients around the world, including models to improve lead generation, customer segmentation, client propensity models, recommendation engines, and other data science products to power selling to and servicing BlackRock's clients around the world. 

  • Work with Engineering and Product teams to implement models and insights in production applications used by clients, salespeople, and service managers. 

  • 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 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 

  • 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 

  • Proficiency in SQL for querying data 

  • Deep knowledge of model and algorithm development (mathematical and statistical knowledge) and expertise with either Python or R 

  • Basic understanding of experimental design (such as A/B experiments) and statistical methods 

  • Intellectual curiosity and a commercial mindset 

  • Experience in Consumer, Client, or Business, or Marketing Analytics preferred 

  • Experience of developing data solutions such as ETLs, databases, API's to both source and provide data, and automation a plus 

  • Experience with Hadoop stack (HIVE, Pig, Hadoop streaming) and Spark a plus 

  • Experience in Tableau, QlikView, PowerBI or similar for delivery of management information and reporting a plus 

  • Experience in Adobe Analytics, Google Analytics, BigQuery and other related digital analytics platforms a plus


Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

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 careers.blackrock.com |  www.blackrock.com/corporate  | Instagram:  @blackrock | Twitter: @blackrock  | LinkedIn:  www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
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